Terminal-Bench 4.0

Agents work on tasks inside a terminal. The score is the share of tasks resolved, with a 95% confidence interval.

Unit
% resolved
Results
35 results23 Tokscale models matched, 23 in the source
Last update
Oct 6, 2026Newest publish date
Retrieved
Oct 21, 2026Source data through Oct 6, 2026
License
Terms not stated

Conditions. Each row is one agent and model pair at one reasoning effort, as submitted to the official leaderboard. Cost and tokens are for the full run.

Attribution. Terminal-Bench 4.0 official leaderboard, tbench.ai

Results

One row per model: its best reported result. The rank is the position in this list, by score; the source's own ranking can differ.

Tokscale usage counts accounts that used the model in public Tokscale submissions, Oct 14 – Nov 12, 2026. It is shown next to the score and does not explain it.

RankModelScore (% resolved)ConditionsCost and tokensDateTokscale usage (30 days)Source link
1
Claude Opus 5.5Listed as Opus 5.5
64.8%Confidence interval 61.7–68.0%Max effort · Claude Code330 trials$4,719 per run8B tokens per runOct 6, 2026Published709active usersSource for Claude Opus 5.5 (opens in a new tab)
2
Claude Sonnet 5.5Listed as Sonnet 5.5
61.8%Confidence interval 58.9–64.8%Max effort · Claude Code330 trials$7,334 per run19.4B tokens per runOct 6, 2026Published555active usersSource for Claude Sonnet 5.5 (opens in a new tab)
358.2%Confidence interval 55.1–61.3%Max effort · Codex330 trials$634 per run1.5B tokens per runOct 6, 2026Published660active usersSource for GPT-6.1 Sol (opens in a new tab)
358.2%Confidence interval 55.4–61.0%Max effort · Codex330 trials$3,267 per run1.5B tokens per runSep 3, 2026Published563active usersSource for GPT-6 Astra (opens in a new tab)
5
Claude Fable 5.1Listed as Fable 5.1
57.9%Confidence interval 54.5–61.2%XHigh effort · Claude Code330 trials$4,872 per run2.3B tokens per runSep 17, 2026Published361active usersSource for Claude Fable 5.1 (opens in a new tab)
6
Claude Opus 5Listed as Opus 5
53.9%Confidence interval 50.8–57.1%XHigh effort · Claude Code330 trials$6,086 per run6.9B tokens per runSep 17, 2026Published163active usersSource for Claude Opus 5 (opens in a new tab)
749.4%Confidence interval 46.2–52.6%Max effort · Codex330 trials$1,451 per run5B tokens per runOct 6, 2026Published246active usersSource for GPT-6 Sol (opens in a new tab)
8
Claude Fable 5Listed as Fable 5
44.5%Confidence interval 40.7–48.4%Max effort · Claude Code330 trials$7,265 per run3.8B tokens per runAug 27, 2026Published41active usersSource for Claude Fable 5 (opens in a new tab)
941.8%Confidence interval 38.6–45.1%Max effort · Claude Code330 trials$2,728 per run8.7B tokens per runAug 27, 2026Published139active usersSource for GLM-5.3 (opens in a new tab)
1037.6%Confidence interval 34.0–41.1%XHigh effort · Grok Build330 trials$3,683 per run5.5B tokens per runSep 21, 2026Published131active usersSource for Grok 4.7 (opens in a new tab)
1137.3%Confidence interval 33.5–41.0%Max effort · Codex330 trials$2,542 per run4.4B tokens per runAug 27, 2026Published217active usersSource for GPT-5.6 Sol (opens in a new tab)
12
GLM-5.3 FlashListed as GLM-5.3-Flash
35.8%Confidence interval 32.2–39.3%No reasoning · Claude Code330 trials$2,883 per run2.9B tokens per runOct 6, 2026Published170active usersSource for GLM-5.3 Flash (opens in a new tab)
13
Qwen3.8 Max 0902Listed as Qwen3.8-Max-0902
27.0%Confidence interval 23.2–30.8%Max effort · Claude Code330 trials$4,636 per run3B tokens per runOct 6, 2026Published1active usersSource for Qwen3.8 Max 0902 (opens in a new tab)
14
Claude Opus 4.8Listed as Opus 4.8
23.6%Confidence interval 20.1–27.2%Max effort · Claude Code330 trials$6,481 per run6.4B tokens per runAug 27, 2026Published222active usersSource for Claude Opus 4.8 (opens in a new tab)
1521.5%Confidence interval 18.3–24.8%Max effort · Codex330 trials$1,734 per run5.7B tokens per runAug 27, 2026Published120active usersSource for GPT-5.6 Terra (opens in a new tab)
1620.3%Confidence interval 17.2–23.4%High effort · Grok Build330 trials$3,592 per run4B tokens per runAug 27, 2026Published41active usersSource for Grok 4.6 (opens in a new tab)
1719.1%Confidence interval 15.7–22.4%High effort · mini-SWE-agent330 trials$1,829 per run17.2B tokens per runSep 3, 2026Published66active usersSource for Gemini 3.8 Flash (opens in a new tab)
1817.3%Confidence interval 14.4–20.1%Max effort · Codex330 trials$347 per run11.6B tokens per runAug 27, 2026Published158active usersSource for GPT-5.6 Luna (opens in a new tab)
1916.4%Confidence interval 13.6–19.1%Max effort · Codex330 trials$72.14 per run3.9B tokens per runOct 6, 2026Published433active usersSource for GPT-6 Luna (opens in a new tab)
2014.5%Confidence interval 11.6–17.5%XHigh effort · Muse Code330 trialsCost not reported9B tokensOct 6, 2026Published21active usersSource for Muse Spark 1.3 (opens in a new tab)
21
Claude Sonnet 5Listed as Sonnet 5
12.4%Confidence interval 9.4–15.5%Max effort · Claude Code330 trials$9,604 per run21.6B tokens per runAug 27, 2026Published138active usersSource for Claude Sonnet 5 (opens in a new tab)
2112.4%Confidence interval 9.8–15.0%High effort · Grok Build330 trials$2,094 per run3.4B tokens per runAug 27, 2026Published9active usersSource for Grok 4.5 (opens in a new tab)
2311.2%Confidence interval 8.8–13.7%High effort · mini-SWE-agent330 trials$1,262 per run11.1B tokens per runSep 3, 2026Published4active usersSource for Gemini 3.7 Flash (opens in a new tab)

Showing 23 of 23 models

Score by release date

Each dot is one model's best result on Terminal-Bench 4.0, placed at the model's release date. The dashed line is the best score among models released up to that date.

  • Used on Tokscale in the last 30 days
  • No Tokscale usage in the last 30 days
  • Best score so far

Claude Opus 5.5: 64.8% · released Sep 22, 2026 · Max effort · Claude Code · 709 active users on Tokscale in the last 30 days

23 models, released May 28, 2026 to Sep 29, 2026. Highest: Claude Opus 5.5, 64.8%, released Sep 22, 2026. Use the left and right arrow keys to read each model in release order.0%20%40%60%80%
Show data
Best score per model on Terminal-Bench 4.0 by release date, newest release first
ModelReleasedScoreTokscale users, 30 days
GPT-6.1 SolSep 29, 202658.2%Max effort · Codex660
Claude Sonnet 5.5Sep 28, 202661.8%Max effort · Claude Code555
GPT-6 LunaSep 22, 202616.4%Max effort · Codex433
GPT-6 SolSep 22, 202649.4%Max effort · Codex246
Claude Opus 5.5Sep 22, 202664.8%Max effort · Claude Code709
Grok 4.7Sep 21, 202637.6%XHigh effort · Grok Build131
GPT-6 AstraSep 3, 202658.2%Max effort · Codex563
Muse Spark 1.3Sep 2, 202614.5%XHigh effort · Muse Code21
Gemini 3.8 FlashSep 2, 202619.1%High effort · mini-SWE-agent66
Qwen3.8 Max 0902Sep 2, 202627.0%Max effort · Claude Code1
Claude Fable 5.1Sep 1, 202657.9%XHigh effort · Claude Code361
GLM-5.3 FlashAug 26, 202635.8%No reasoning · Claude Code170
GLM-5.3Aug 14, 202641.8%Max effort · Claude Code139
Gemini 3.7 FlashAug 13, 202611.2%High effort · mini-SWE-agent4
Grok 4.6Aug 12, 202620.3%High effort · Grok Build41
Claude Opus 5Jul 24, 202653.9%XHigh effort · Claude Code163
Grok 4.5Jul 16, 202612.4%High effort · Grok Build9
Claude Sonnet 5Jun 30, 202612.4%Max effort · Claude Code138
GPT-5.6 LunaJun 26, 202617.3%Max effort · Codex158
GPT-5.6 TerraJun 26, 202621.5%Max effort · Codex120
GPT-5.6 SolJun 26, 202637.3%Max effort · Codex217
Claude Fable 5Jun 9, 202644.5%Max effort · Claude Code41
Claude Opus 4.8May 28, 202623.6%Max effort · Claude Code222

Method and matching

How results are run

  • Each row is one agent and model pair at one reasoning effort, as submitted to the official leaderboard. Cost and tokens are for the full run.
  • Only result rows are stored. No task content is copied.
  • The site's data terms are not confirmed. Every score links back to the leaderboard.
  • The same model can appear with several agents. The board shows the best reported pair and names the agent.

Matching to Tokscale models

  • 35 of 35 results are matched to 23 Tokscale models: 35 by normalized name.
  • No match is marked as reviewed by hand yet.
  • Reasoning effort, thinking budget and agent are conditions of a result. They never change which model a result belongs to.

License and attribution

  • Terms not stated, retrieved Oct 21, 2026.
  • Terminal-Bench 4.0 official leaderboard, tbench.ai

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Terminal-BenchTerminal-Bench 4.0 official leaderboard rows (results only, no task content).Terms not stated · Retrieved Oct 21, 2026 · Data through Oct 6, 2026Terminal-Bench 4.0 leaderboard, tbench.ai. Every score links back to the leaderboard.
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count