AA-Omniscience hallucination rate
Best score fell 28.3 points, from 51.3% (GPT-6 Astra) to 23% (Muse Wonder Full).
Every score from our Model Drops from the last 30 days on one board, since Oct 6, 2026: who leads, how fast the best scores move, and which new models jumped furthest past the last generation.
Handy AI's weigh-in: every leaderboard on this page folded into one ranking.
Each dot is a model at its release. The line is the record holder at each point. Hollow dots are models without a drop of their own, placed where we first saw them cited.
Best score fell 28.3 points, from 51.3% (GPT-6 Astra) to 23% (Muse Wonder Full).
Best score rose 8.3 points, from 69.5% (Claude Opus 5.5) to 77.8% (Gemini 4 Carbon).
Best score rose 7.4 points, from 34.9% (Claude Haiku 5.5) to 42.3% (GPT-6.1 Terra).
Best score rose 25.5 points, from 43.5% (Claude Haiku 5.5) to 69% (Gemini 4 Carbon).
Best score rose 44.8 points, from 20% (Claude Haiku 5.5) to 64.8% (Gemini 4 Carbon).
A new model against the model it replaced, on the same chart in its launch post.
The latest reported score for every model on each benchmark. Tap a card's share button for an image of it.
Multi-hour work in a real terminal.
16 models · 11 drops · GPT-6.1 Terra, Kimi K3.1 Pro, Muse Wonder, MiniMax M3.1 Flash, Claude Haiku 5.5, Mirendil, "Introducing Fern", Nanbeige4.3-33B model card
Fixing issues in real repositories.
10 models · 9 drops · Muse Wonder, Kimi K3.1 Pro, MiniMax M3.1 Flash, Particle, "Introducing Particle-1", Mirendil, "Introducing Fern", Nanbeige4.3-33B model card
5 models compared.
5 models · 7 drops · Kimi K3.1 Pro, Particle, "Introducing Particle-1", Nanbeige4.3-33B model card
Real business automations (Zapier).
3 models · 7 drops · MiniMax M3.1 Flash, Nanbeige4.3-33B model card
2 models compared.
2 models · 7 drops · Particle, "Introducing Particle-1", Nanbeige4.3-33B model card
14 models compared.
14 models · 6 drops · Kimi K3.1 Pro, GPT-6.1 Terra, Muse Wonder, DeepSeek V4.1 Flash 1017
Expert-level questions, no tools.
8 models · 5 drops · Kimi K3.1 Pro, Claude Haiku 5.5, DeepSeek V4.1 Flash 1017
7 models compared.
7 models · 5 drops · Kimi K3.1 Pro, Muse Wonder, DeepSeek V4.1 Flash 1017
Professional work products, graded head to head (Elo).
9 models · 4 drops · Kimi K3.1 Pro, Muse Wonder, Claude Haiku 5.5
4 models compared.
4 models · 4 drops · Kimi K3.1 Pro, MiniMax M3.1 Flash
How people received the model in its first week on X, Hacker News, in the news and among trusted reviewers (Handy AI).
4 models · 4 drops · Every model's sources, quotes and method
2 models compared.
2 models · 4 drops · Mirendil, "Introducing Fern"
Using a computer: apps, files and the web.
8 models · 3 drops · GPT-6.1 Terra, MiniMax M3.1 Flash
6 models compared.
6 models · 3 drops · Artificial Analysis (2026-11-04), Nanbeige4.3-33B model card
6 models compared.
6 models · 3 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017, Particle, "Introducing Particle-1"
Legal work end to end.
6 models · 3 drops · Kimi K3.1 Pro, Muse Wonder, Mistral Large 4
Scientific computing tasks in a terminal.
5 models · 3 drops · GPT-6.1 Terra, Kimi K3.1 Pro
5 models compared.
5 models · 3 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017
3 models compared.
3 models · 3 drops · MiniMax M3.1 Flash, Nanbeige4.3-33B model card
Using a computer, on the 82 OSWorld 2.1 tasks that need no internet.
9 models · 2 drops · Gemini 4 Carbon, Claude Haiku 5.5
Terminal-Bench run by a third party on one shared harness.
9 models · 2 drops · Artificial Analysis (2026-11-04), Gemini 4 Carbon
Lower is better.
8 models · 2 drops · Muse Wonder, GPT-6.1 Terra
Business automations, run by Artificial Analysis.
8 models · 2 drops · Artificial Analysis (2026-11-04), Kimi K3.1 Pro
5 models compared.
5 models · 2 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017
5 models compared.
5 models · 2 drops · Muse Wonder, Kimi K3.1 Pro
Expert-level questions, with search and code.
3 models · 2 drops · Kimi K3.1 Pro
2 models compared.
2 models · 2 drops · Kimi K3.1 Pro
2 models compared.
2 models · 2 drops · Mirendil, "Introducing Fern", Nanbeige4.3-33B model card
11 models compared.
11 models · 1 drop · Artificial Analysis (2026-11-04), Gemini 4 Carbon
8 models compared.
8 models · 1 drop · Kimi K3.1 Pro, Artificial Analysis (2026-11-04)
8 models compared.
8 models · 1 drop · Vals Index v2.2 (2026-11-04), Gemini 4 Carbon
6 models compared.
6 models · 1 drop · GPT-6.1 Terra
5 models compared.
5 models · 1 drop · GPT-6.1 Terra
Lower is better.
5 models · 1 drop · GPT-6.1 Terra
Real coding tasks in open-source repos (Cognition), run by Artificial Analysis.
5 models · 1 drop · Artificial Analysis (2026-11-04)
Frontier software engineering tasks.
5 models · 1 drop · Gemini 4 Carbon
5 models compared.
5 models · 1 drop · Muse Wonder
5 models compared.
5 models · 1 drop · GPT-6.1 Terra
5 models compared.
5 models · 1 drop · Muse Wonder
5 models compared.
5 models · 1 drop · Gemini 4 Carbon
4 models compared.
4 models · 1 drop · Gemini 4 Carbon
4 models compared.
4 models · 1 drop · Claude Haiku 5.5
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Gemini 4 Carbon
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
Hard, long coding tasks.
3 models · 1 drop · Claude Haiku 5.5
Work products built from PDFs (Surge AI).
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
2 models compared.
2 models · 1 drop · Gemini 4 Carbon
2 models compared.
2 models · 1 drop · Kimi K3.1 Pro
2 models compared.
2 models · 1 drop · DeepSeek V4.1 Flash 1017
2 models compared.
2 models · 1 drop · Mistral Large 4
2 models compared.
2 models · 1 drop · MiniMax M3.1 Flash
2 models compared.
2 models · 1 drop · Mirendil, "Introducing Fern"
Unpublished research-level physics problems, hard subset, run by Artificial Analysis.
5 models · 0 drops · Artificial Analysis (2026-11-04)
Terminal-Bench Science run by a third party on one shared harness.
5 models · 0 drops · Artificial Analysis (2026-11-04)
No leaderboard matches that. Try a benchmark name like "SWE-bench" or a kind like "math".
Every Model Drop by month, marked with its maker.
Scores come from the benchmark section of each handyai.news Model Drop, mostly the makers' launch tables. When drops disagree, the newest drop wins, since later launches re-run rivals on the current version of a benchmark; the model's own launch number is kept as launch_score. Settings (effort level, harness) vary between makers, so compare within a board with care. Models without their own drop are dated by the first drop that cites them.
The data is open: /api/benchmarks (JSON), /benchmarks.md (Markdown), one benchmark at /api/benchmarks/{benchmark}, the best model overall at /api/benchmarks/weigh-in (or /weigh-in/{type} for a topic), a PNG of any card by adding .png, and the list_benchmarks, get_benchmark and get_weigh_in tools on our MCP server.