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GLM 5.2 vs Kimi K 2.7 vs Opus 4.8: Which AI Model Builds the Best Apps?
The script compares GLM 5.2, Kimi K 2.7, and Opus 4.8 by giving them identical build prompts inside an agent operating system and judging results across five tests: a Temple Run–style voxel runner (GLM 5.2 best), an inner solar system/orbit HUD simulation (Kimi K 2.7 best for zoom, speed, and customization), a liquid-in-a-bowl particle/metaball interaction (GLM 5.2 best), an Apple-style AI model landing page (GLM 5.2 best), and a neon arcade game (GLM 5.2 most fun). The narrator notes GLM 5.2 is very new and not yet on OpenRouter, contrasts origins and context windows, highlights that Kimi and GLM can be used inside AI agents unlike Claude/Opus, and concludes GLM 5.2 wins four of five tests while promoting the AI Profit Boarding community and agent OS download.
00:00 Model Showdown Setup
00:57 Test 1 Temple Run Runner
02:01 Test 2 Solar Orbit Map
03:27 Test 3 Liquid Metaballs
04:39 Test 4 Apple Style Landing Page
05:40 Test 5 Neon Arcade Game
06:24 Benchmarks And Model Specs
07:51 How To Use Them Together
08:15 Get The Agent OS
09:30 Community Wrap UpFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And OffersFusion (OpenRouter) Lets You Combine Multiple Models to Reach Fable-Level Intelligence for Less
The script covers a new OpenRouter Fusion API update that runs a prompt across a parallel panel of up to eight models (with web search and bash tools), then uses a judge model to extract consensus, contradictions, unique insights, and missing coverage before returning one fused answer. Fusion is presented as a way to boost benchmark performance and reduce token costs versus relying on a single frontier model, with tests on 100 hard deep-research tasks showing much of the lift coming from synthesis rather than diversity. Examples compare solo models versus panels, including a “budget panel” of cheaper models landing within 1% of Claude Fable 5 on intelligence tests, and demonstrations of using Fusion in chat and via API to generate outputs like SEO research and a clean landing page.
00:00 Fusion Update Overview
00:51 Panels Beat Solo Models
01:43 Budget Panel Near Fable
02:23 How Fusion Works
03:05 Live Panel Demo
03:53 Benchmark Results Breakdown
05:02 API Integration Ideas
05:50 Boardroom SEO Example
06:56 Judge Fusion Output
08:05 Draco Benchmark Explained
09:10 Landing Page Results
10:28 Wrap Up And Offers
Full transcript
GLM 5.2 vs Kimi K 2.7 vs OPA's 4.8 who wins? So I gave them all the same tests like you can see today. I'm going to show you the examples of what they've built, which one performs the best, and which one you should actually use. Now these are brand new models.
Obviously 4.8 has been out for a while from OPA. GLM 5.2 literally just dropped today. Kimi K 2.7 literally just dropped yesterday. I've already built them into the agent operating system and tested them out and built some cool stuff like you can see right here.
And so today we're going to be looking at okay which one can build the best stuff and how does it work etc. And I will say that so far these models have really impressed me. Like the the models coming out of China have been pretty interesting so far. I mean we've even created for example games but websites.
We've created all sorts of fun visual stuff and even like videos like you can see here fully scripted with an AI avatar. It's absolutely wild what you can do. So let's get straight into it. The first test that we ran was something called Temple Run right.
And basically this is the prompt was like an endless third person box of runner running for a city, dodging blocks, grabbing stuff you know and the speed ramps up. So if we have a look at the first option this is from Kimi K 2.7 as you can see here. It's pretty basic but it does the job. It's kind of fun to play.
Let's have a look at the next one. So this was weird. I mean this is wild right. This is GLM 5.2.
Pretty intense but a lot of fun to play and probably the best of what I saw so far. Now if we have a look at Opus 4.8. So this is Opus 4.8. You can see it looks super basic.
Like I don't know what happened here but it's not that fun to play. It's a lot more slow, not as interesting, not as cool etc. This one looks way more fun and I'm actually super impressed that GLM 5.2 could create that. I would say Kimi came in second because it's a bit more complex than Opus 4.8 but again GLM 5.2 created the best thing there.
So let's move on to the next test which is the inner system orbit map. So this was a map of like basically a galaxy as you can see and it was just kind of like a test of a simulation right. So animate the inner solar system and a few nearer orbits with like a play pause speed etc and a nice HUD. And so if we look at these three live this is GLM 5.2.
I wouldn't say that was the best output. So even though it performed the best on the runner game it didn't perform the best on this. If I actually have a look at these I would say that Opus 4.8 did the best here. Like that looks the best.
This one is pretty cool too. The one thing I will say here is that we don't seem to be able to zoom in and out of this but it looks pretty cool. If we have a look at GLM 5.2 I mean it's interesting but it's not not as good as the others in comparison. I think the stand-up was pretty high here.
Let's have a look at Kimi K 2.7. Again super basic but I like the fact that you can move it around and also you can zoom in and out and you can change the speed here if you want to as well. So which one do I think won that? I would say actually you know I would say Kimi K 2.7 won that.
Yeah for sure and you can also change the trail CA. You get a lot of customization on that too. So just a recap so far test number one GLM 5.2 won and then test number two Kimi K 2.7 won. So you can see here that they don't all perform in a certain task.
Like it depends what you build in that sort of thing. Let's have a look at this one. So this one was liquid in a bowl which was the the prompt here was thousands of particles sloshing round in a bowl. You tilt with the mouse.
Soft glowing metaball look. And so if we have a look at these. By the way if you're watching this live like feel free to ask any questions and that sort of thing. If we have a look at these which one performs the best.
Let's have a look. Let's open them up full screen as well. See what we got here. So it's following the mouse and we can tilt it.
We can also change the theme of the color which is pretty cool. Let's open the GLM 5.2 one. I actually think this is the best. This is the most fun.
We can change the theme as well as you can see. It looks the most interesting. It's the most fun to use. It feels very interactive.
Really really cool. Let's have a look at Opus 4.8. So that one just kind of fades out very quickly. It's quite boring.
You can again change the theme but it's pretty basic and limited. So if I had to compare them side by side I'm going to go with GLM 5.2. GLM 5.2 won that. So so far let's recap.
GLM 5.2 won the runner game. That was the most fun and the best. For the inner system Kimi K2.7 won and that was really really cool. For the liquid in a bowl test for sure GLM 5.2 won that.
That was the best. Let's have a look at the next one. So this was for a landing page. Basically what we said here was as the prompt a premium Apple Keynote style launch page for a fictional AI model with the hero the features the scroll reveals etc.
So if we have a look at this one from Kimi K2.7 you see how there's nothing at the top. Doesn't look that cool. Let's have a look at GLM 5.2. This is pretty nice.
Again like the UI as well is it is nice. Look at that. When you open up full screen looks really cool. Feels a little bit like Apple as well.
Really nice. And then the actual menu works too which is great. Let's have a look at Opus 4.8. See there's no reveal when you click on that.
Just keep scrolling down. Not bad. Not as much content on the page as well. So I'm gonna go with GLM 5.2 again for this which is blowing my mind.
I can't believe GLM 5.2 is beating Opus 4.8. Again these are all the same prompts. We tested the same thing with each. I've not been impressed so much with Kimi K2.7 versus GLM 5.2.
Let's have a look at the last test which is a Neon Arcade game. So we've got three tests side by side. Let's test out Kimi K2.7 first. It's pretty nice.
Doesn't seem to actually break the blocks. Oh yeah I see. So we have to and then it speeds up. That's a pretty cool game actually.
It's got some nice sound effects on there too. That is fun. Alright cool. That was good.
Let's try the next one. Whoa GLM 5.2 created something crazy. Wow what is even going on right now. That's that is fun.
That is awesome. Alright let's try the other one. Opus 4.8. It's solid.
Feels a little bit buggy when you move this but it's it's solid. Is it as fun as the other one as GLM 5.2? No. This is way more fun.
So overall GLM 5.2 is building the best stuff. You might be wondering as well what are the official benchmarks. So I've not actually seen any official benchmarks from GLM 5.2. It's not even on OpenRouter yet.
Like it's so new. Let's go to OpenRouter here. Yeah so only 5.1 is available there. You can't see 5.2.
So I can't really compare the benchmarks in terms of that but I can compare Kimi K 2.7 I think versus Opus 4.8. Let's have a look. So this is Kimi K 2.7 code and we'll compare it to Opus. So side by side obviously Kimi K 2.7 and GLM 5.2 are from China.
So Moonshot created Kimi. Zed created GLM 5.2 and Anthropic created Opus 4.8. In terms of context window, so the context window of K 2.7 is much smaller than the context window of Opus. GLM 5.2 is a million token context window as well.
Both got reasonings. The difference I would say between them as well, this is one big benefit, is if you're using the coding plan with Kimi K 2.5, sorry with Kimi K 2.7 or with GLM 5.2, you can use those inside your AI agents. So for example we can plug Kimi K 2.7 into Hermes. We can do the same with GLM 5.2 but you can't do that with Claude.
So that's a big difference between them two. You can have the CLI with all of them. So we've plugged all of three of them into our agent operating system like you can see. But again like GLM 5.2, I think it's actually cheaper on the subscription than Opus and it's creating some awesome stuff.
So the way that I like to personally use them, this is how I've done it this morning, is I have Claude desktop operating all of them and then building them into the agent operating system and also building cool stuff with them. So I think that's a great way to use it. You know you can combine them all together and orchestrate them all together. But in terms of the actual builds, GLM 5.2 won pretty much on what four out of five tests right there, which is pretty amazing itself.
So if you want the full agent operating system that we've built with all of this setup, you know all these agents working together, all this cool stuff that we've built, the obsidian memory, the links into all of them. We've got a memory galaxy as you can see right here. You can get that inside the AI Profit Boarding. Link in the comments description.
Go to the AIProfitBoarding.com and this is an amazing community about learning and growing and scaling with AI automation. Inside the community you can ask questions, get help and support whenever you want to. If you want the agent operating system that we built, you can grab it over here and we update it daily along with new daily tutorials. So we've already got a full tutorial and guide on how to use KimiK217 along with Hermes and Claude and also Hermes Idea Factory, Paperclip etc.
So inside this section you can watch a video tutorial. We've got the last update date so we actually updated it today with the new updates. We have a changelog inside there as well so you can see the new things that came out today. And then also we have the zip file that you can install directly there.
I personally answer these questions inside the community so you can get help and support whenever you need to. And then also inside the calendar we have four weekly coaching calls where you can ask questions, share your screen, build with us, meet other cool people, build in similar things. And also inside the map you can meet people in your local area who are using AI agents just like you. So that's all inside the AI Profit Boarding.
Feel free to get it, link in the comments description or go to the AIProfitBoarding.com
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