Benchmark Almanac

Terminal-Bench 3.0

Claude Opus 5 42.7% leads since Jul 2026 In use

Agents complete 74 tasks across 7 domains in sandboxed terminal environments. Verifier scripts grade each trial as pass or fail.

Released first as FrontierBench v0.1, the name Anthropic's Claude Opus 5 card uses. Terminal-Bench 4.0 succeeded it in August 2026.

Made by Laude Institute and Harbor Released Jul 2026 Terminal tasks All tasks public Last in a launch post Sep 2026 Last model added Sep 2026 Scores refreshed 2 Nov 2026
Level
Expert Specialists with years of training, often over hours of work
Scored
Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
Answers
Agent task Many steps in a terminal, browser, desktop, app, game or robot.
12
Entries on its own leaderboard, 11 models we track
5
Launch posts list it, from 5 labs
4
System cards report it, from 4 labs

Claude Opus 5 leads with 42.7% among models released by Aug 2026

Best score per entry from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.

The newest model with a score here came out in Aug 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:

  1. 1 Claude Opus 5 max 42.7%
  2. 2 GPT-5.6 Sol max 34.6%
  3. 3 Claude Fable 5 max 34%
  4. 4 GLM-5.3 max 32.4%
  5. 5 Grok 4.6 high 26.5%
  6. 6 Claude Opus 4.8 max 21.1%
  7. 7 GPT-5.6 Terra max 20.8%
  8. 8 SWE-1.7 Lightning 18.6%
  9. 9 Grok 4.5 xhigh 15.7%
  10. 10 Claude Sonnet 5 max 14.6%
  11. 11 GPT-5.6 Luna max 14.3%
  12. 12 GLM-5.2 max 4.59%
#EntryScoreSettingDateSource
1 Claude Opus 5 42.7% max, mini-SWE-agent Jul 2026 Official leaderboard
2 GPT-5.6 Sol 34.6% max, Codex Jul 2026 Official leaderboard
3 Claude Fable 5 34% max, Claude Code Jun 2026 Official leaderboard
4 GLM-5.3 32.4% max, Claude Code Aug 2026 Official leaderboard
5 Grok 4.6 26.5% high, Grok Build Aug 2026 Official leaderboard
6 Claude Opus 4.8 21.1% max, Claude Code May 2026 Official leaderboard
7 GPT-5.6 Terra 20.8% max, Codex Jul 2026 Official leaderboard
8 SWE-1.7 Lightning 18.6% Devin Aug 2026 Official leaderboard
9 Grok 4.5 15.7% xhigh, Cursor CLI Jul 2026 Official leaderboard
10 Claude Sonnet 5 14.6% max, Claude Code Jun 2026 Official leaderboard
11 GPT-5.6 Luna 14.3% max, Codex Jul 2026 Official leaderboard
12 GLM-5.2 4.59% max, Claude Code Jun 2026 Official leaderboard

Labs report scores for 5 models in their cards. We plot every source in the charts below.

3 models have held number one since its release in Jul 2026

Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.

Anthropic OpenAI
Own leaderboard Replaced by 4.0, Aug 2026
Lab claims Replaced by 4.0, Sep 2026

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

On the benchmark’s own leaderboard Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 5 GPT-5.6 Sol Claude Opus 4.8 0% 20% 40% 60% 80% 100% 2026 Near the ceiling (85%) Claude Opus 5 GPT-5.6 Sol

5 labs put it in a launch post in the last six months

Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.

Anthropic
xAI
Google DeepMind
Z.ai
DeepSeek
DateLaunch postScoreAs the post writes it
10 Sep 2026 DeepSeek V4.1 Flash 30 Terminal-Bench 3.0 (Pass@1)
14 Aug 2026 GLM-5.3 28.3 Terminal Bench 3.0
13 Aug 2026 Gemini 3.7 Flash 14.9 Terminal-bench 3.0
12 Aug 2026 Grok 4.6 26 Terminal-Bench v3.0
24 Jul 2026 Claude Opus 5 43.3 Agentic terminal coding Frontier-Bench v0.1

4 system cards report it, from 4 labs

Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.

DateDocumentScoreAs the document writes itSection
10 Sep 2026 DeepSeek V4.1 Flash technical report 30 Terminal-Bench 3.0 (Pass@1) (Table 3) Capabilities
13 Aug 2026 Gemini 3.7 Flash model card 14.9 Terminal-bench 3.0 (results table, p.5) Capabilities
12 Aug 2026 Grok 4.6 model card 26 Terminal-Bench 3.0, task success rate, high, Grok Build harness, run by Harbor (2.6) Capabilities
24 Jul 2026 Claude Opus 5 system card 43.3 FrontierBench v0.1, Harbor's evaluation (Table 8.1.A). Anthropic's own mini-SWE-agent run 44.4% mean reward at xhigh, 43% at max (8.5) Capabilities

Versions

We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.

Anthropic OpenAI Google DeepMind Cognition
Terminal-Bench 4.0 20 leaders
Terminal-Bench Replaced by 2.0, Dec 2025
Terminal-Bench 2.0 Replaced by 2.1, Jul 2026
GPT-5.5 84.7%
Terminal-Bench 2.1 Passed 85% in Jun 2026, by Claude Fable 5
SWE-2 92.8%
Terminal-Bench 3.0 Replaced by 4.0, Sep 2026

More in Terminal agents

All 18 in Terminal agents
  • SkillsBench In use 86-87 containerized expert tasks in 11 domains, run with and without Agent Skills. Verifier tests give pass rate and skill lift. GPT-5.5 67.3%
  • Terminal-Bench Hard In use Agents complete 44 hard tasks from Terminal-Bench Core in the Terminus 2 harness. Artificial Analysis scores pass@1 averaged over 3 repeats. Gemma 4 31B IT 36%
  • Harbor-Index In use Agents solve about 80 hard tasks drawn from 29 benchmarks run through Harbor adapters, such as HLE, GSO and SWE-bench Pro. Each task keeps its source verifier. GPT-5.5 28.1%
  • CompileBench Not in model cards Agents build real open-source projects through dependency problems, legacy toolchains and complex build systems, for example compiling 22-year-old code. Claude Opus 4.1 100%
  • Long-Horizon-Terminal-Bench 2.0 Not in model cards Agents work for up to 3 hours per task on 77 container tasks, including 30 tasks that rebuild a scientific tool from its outputs. Hidden verifiers give partial-credit rewards. GPT-6 Astra 69.2%
  • ITBench Not in model cards Agents handle IT automation tasks in Kubernetes environments: site reliability incidents, compliance and security checks, and cloud cost work. Gemini 3 Pro 58.3%