Terminal-Bench 4.0
Best score rose 23.9 points, from 41.8% (GLM-5.3) to 65.7% (Kimi K3.1 Pro).
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 rose 23.9 points, from 41.8% (GLM-5.3) to 65.7% (Kimi K3.1 Pro).
Best score rose 2.3 points, from 59.9% (Mistral Large 4) to 62.2% (MiniMax M3.1 Flash).
Best score rose 12.5 points, from 19% (GLM-5.3) to 31.5% (Kimi K3.1 Pro).
Best score rose 14.9 points, from 28.3% (Kimi K3) to 43.2% (Kimi K3.1 Pro).
Best score rose 196 Elo, from 1650 Elo (GLM-5.3) to 1846 Elo (Kimi K3.1 Pro).
Best score rose 8 points, from 78.3% (Muse Spark Open) to 86.3% (Kimi K3.1 Pro).
Best score rose 7.9 points, from 15.8% (Mistral Large 4) to 23.7% (Kimi K3.1 Pro).
Best score rose 22 points, from 41% (Kimi K3) to 63% (Kimi K3.1 Pro).
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.
14 models · 11 drops · Kimi K3.1 Pro, Tencent Hunyuan Hy4 launch post, Meituan LongCat-2.5 launch post, MiniMax M3.1 Flash, Mistral Large 4, Nanbeige4.3-33B model card, Mirendil, "Introducing Fern"
Fixing issues in real repositories.
14 models · 9 drops · Kimi K3.1 Pro, MiniMax M3.1 Flash, Nanbeige4.3-33B model card, Muse Spark Open, Mistral Large 4, Mirendil, "Introducing Fern"
15 models compared.
15 models · 7 drops · Kimi K3.1 Pro, Muse Spark Open, Nemotron 3.5 Super VL, Nanbeige4.3-33B model card, DiffuSpace, "Clover-35B-A3B-Preview", Liquid AI, "Introducing LFM3"
Real business automations (Zapier).
13 models · 7 drops · MiniMax M3.1 Flash, Mistral Large 4, Tencent Hunyuan Hy4 launch post, Nanbeige4.3-33B model card, Meituan LongCat-2.5 launch post, SenseNova-Loop-9B-Preview model card
11 models compared.
11 models · 7 drops · Meituan LongCat-2.5 launch post, Muse Spark Open, Nanbeige4.3-33B model card, DiffuSpace, "Clover-35B-A3B-Preview", SenseNova-Loop-9B-Preview model card, Liquid AI, "Introducing LFM3"
11 models compared.
11 models · 6 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017, Muse Spark Open, Mistral Large 4
How people received the model in its first week on X, Hacker News, in the news and among trusted reviewers (Handy AI).
6 models · 6 drops · Every model's sources, quotes and method
Expert-level questions, no tools.
9 models · 5 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017, Nemotron 3.5 Super VL, Liquid AI, "Introducing LFM3"
7 models compared.
7 models · 5 drops · Kimi K3.1 Pro, Tencent Hunyuan Hy4 launch post, DeepSeek V4.1 Flash 1017, Meituan LongCat-2.5 launch post
7 models compared.
7 models · 4 drops · Kimi K3.1 Pro, Tencent Hunyuan Hy4 launch post, DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash
Professional work products, graded head to head (Elo).
7 models · 4 drops · Kimi K3.1 Pro, Muse Spark Open
6 models compared.
6 models · 4 drops · Nemotron 3.5 Super VL, DiffuSpace, "Clover-35B-A3B-Preview", Liquid AI, "Introducing LFM3"
11 models compared.
11 models · 3 drops · Artificial Analysis (2026-11-04), Nanbeige4.3-33B model card, DiffuSpace, "Clover-35B-A3B-Preview", Liquid AI, "Introducing LFM3"
7 models compared.
7 models · 3 drops · MiniMax M3.1 Flash, Nanbeige4.3-33B model card
Legal work end to end.
5 models · 3 drops · Kimi K3.1 Pro, Mistral Large 4
5 models compared.
5 models · 3 drops · Ling-3.1-flash-1019 model card, Nanbeige4.3-33B model card, Liquid AI, "Introducing LFM3"
5 models compared.
5 models · 3 drops · Liquid AI, "Introducing LFM3", DiffuSpace, "Clover-35B-A3B-Preview", Nanbeige4.3-33B model card
5 models compared.
5 models · 3 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017, Muse Spark Open
4 models compared.
4 models · 3 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017
Using a computer: apps, files and the web.
4 models · 3 drops · Tencent Hunyuan Hy4 launch post, MiniMax M3.1 Flash
Scientific computing tasks in a terminal.
4 models · 3 drops · Kimi K3.1 Pro, Tencent Hunyuan Hy4 launch post
Terminal-Bench run by a third party on one shared harness.
10 models · 2 drops · Artificial Analysis (2026-11-04), Mistral Large 4
Business automations, run by Artificial Analysis.
8 models · 2 drops · Artificial Analysis (2026-11-04), Kimi K3.1 Pro
7 models compared.
7 models · 2 drops · Muse Spark Open, Nanbeige4.3-33B model card
7 models compared.
7 models · 2 drops · Nanbeige4.3-33B model card, Nemotron 3.5 Super VL
5 models compared.
5 models · 2 drops · Nemotron 3.5 Super VL, Liquid AI, "Introducing LFM3"
5 models compared.
5 models · 2 drops · Muse Spark Open, Liquid AI, "Introducing LFM3"
4 models compared.
4 models · 2 drops · Kimi K3.1 Pro, DeepSeek V4.1 Flash 1017
4 models compared.
4 models · 2 drops · Nanbeige4.3-33B model card, Liquid AI, "Introducing LFM3"
Expert-level questions, with search and code.
4 models · 2 drops · Kimi K3.1 Pro, Liquid AI, "Introducing LFM3"
4 models compared.
4 models · 2 drops · Nanbeige4.3-33B model card, Mirendil, "Introducing Fern"
3 models compared.
3 models · 2 drops · Kimi K3.1 Pro
2 models compared.
2 models · 2 drops · Kimi K3.1 Pro, Meituan LongCat-2.5 launch post
8 models compared.
8 models · 1 drop · Artificial Analysis (2026-11-04), Kimi K3.1 Pro
Real coding tasks in open-source repos (Cognition), run by Artificial Analysis.
8 models · 1 drop · Tencent Hunyuan Hy4 launch post, Artificial Analysis (2026-11-04)
7 models compared.
7 models · 1 drop · Artificial Analysis (2026-11-04)
6 models compared.
6 models · 1 drop · Artificial Analysis (2026-11-04), Mistral Large 4
6 models compared.
6 models · 1 drop · Vals Index v2.2 (2026-11-04)
4 models compared.
4 models · 1 drop · DeepSeek V4.1 Flash 1017
4 models compared.
4 models · 1 drop · MiniMax M3.1 Flash
4 models compared.
4 models · 1 drop · Nemotron 3.5 Super VL
4 models compared.
4 models · 1 drop · Mistral Large 4
4 models compared.
4 models · 1 drop · Muse Spark Open
4 models compared.
4 models · 1 drop · Mistral Large 4
4 models compared.
4 models · 1 drop · Nemotron 3.5 Super VL
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Nanbeige4.3-33B model card
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Nanbeige4.3-33B model card
3 models compared.
3 models · 1 drop · MiniMax M3.1 Flash
3 models compared.
3 models · 1 drop · Nanbeige4.3-33B model card
3 models compared.
3 models · 1 drop · Mistral Large 4
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
Work products built from PDFs (Surge AI).
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Nanbeige4.3-33B model card
3 models compared.
3 models · 1 drop · Kimi K3.1 Pro
3 models compared.
3 models · 1 drop · Nanbeige4.3-33B model card
3 models compared.
3 models · 1 drop · Nanbeige4.3-33B model card
2 models compared.
2 models · 1 drop · Kimi K3.1 Pro
2 models compared.
2 models · 1 drop · Mistral Large 4
2 models compared.
2 models · 1 drop · Kimi K3.1 Pro
2 models compared.
2 models · 1 drop · Nemotron 3.5 Super VL
2 models compared.
2 models · 1 drop · Kimi K3.1 Pro
2 models compared.
2 models · 1 drop · Kimi K3.1 Pro
Unpublished research-level physics problems, hard subset, run by Artificial Analysis.
7 models · 0 drops · Artificial Analysis (2026-11-04)
Terminal-Bench Science run by a third party on one shared harness.
7 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.