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Terminal-Bench 4.0 leaderboard (Oct 2026): AI model scores

As of 19 Oct 2026, the highest reported Anthropic score on Terminal-Bench 4.0 is Claude Opus 5.5 (Anthropic) at 65.15%, #1 on that leaderboard, per Vals AI.

What it measures

Frontier-difficulty terminal tasks across software, science, ML, operations, hardware, security and media.

Hard, multi-step tasks an agent must complete on its own in a command-line environment.

What the score means

Score: pass@1, averaged over 3 runs

Share of terminal tasks completed and verified by tests.

Results from published AI leaderboards. Compare models within each benchmark; scores from different tests aren’t directly comparable. How we collect these results

Scores by model

Run by Vals AI (benchmark by Terminal-Bench team). Leaderboard dated 19 Oct 2026. Last checked 22 Oct 2026. Showing top 25 of 52 models listed.

Highlight a provider: Anthropic OpenAI Google xAI Meta DeepSeek Alibaba Z.ai MiniMax Mistral Xiaomi

Highlighting Anthropic models. Other providers are dimmed. Show all providers

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • Meta
  • DeepSeek
  • Alibaba
  • Z.ai
  • MiniMax
  • Mistral
  • Xiaomi
  • Other
Terminal-Bench 4.0: Score vs Cost per test (USD)Scatter plot of 25 models. Leader on Score: Claude Opus 5.5 at 65.15%. Anthropic models highlighted. Full values in the table below.$.1$1$10$10020%30%40%50%60%COST PER TEST (USD) · LOG SCALESCOREMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.22, Score 24.24%XiMuse Spark 1.3 Max (Meta): Cost per test (USD) $6.65, Score 24.75%MMiniMax-M3.1-Flash (MiniMax): Cost per test (USD) $0.73, Score 25.25%MMMistral Large 4 (Mistral): Cost per test (USD) $10, Score 27.78%MiGrok 4.7 (xAI): Cost per test (USD) $18, Score 28.79%XMiMo V2.6 Pro (Xiaomi): Cost per test (USD) $0.50, Score 31.31%XiStep 5 Preview (Other): Cost per test (USD) $3.11, Score 31.82%·DeepSeek V4.1 Flash 1017 (DeepSeek): Cost per test (USD) $0.54, Score 31.82%DQwen 3.8 Max (Alibaba): Cost per test (USD) $11, Score 34.34%QGLM 5.3 Flash (Z.ai): Cost per test (USD) $1.22, Score 37.37%ZGPT-5.6 Sol (OpenAI): Cost per test (USD) $7.98, Score 37.88%OGLM 5.3 (Z.ai): Cost per test (USD) $9.37, Score 38.89%ZGPT-6 Sol (OpenAI): Cost per test (USD) $5.79, Score 44.44%OWonder (Meta): Cost per test (USD) $15, Score 49.49%MGPT-6.1 Sol (OpenAI): Cost per test (USD) $1.72, Score 55.05%OGemini 4 Argon (Google): Cost per test (USD) $18, Score 57.58%GWonder Full (Meta): Cost per test (USD) $11, Score 58.08%MGPT-6 Astra (OpenAI): Cost per test (USD) $9.58, Score 59.60%OClaude Opus 4.8 (Anthropic): Cost per test (USD) $17, Score 23.23%AClaude Haiku 5.5 (Anthropic): Cost per test (USD) $3.12, Score 36.36%AClaude Fable 5 (Anthropic): Cost per test (USD) $30, Score 41.41%AClaude Opus 5 (Anthropic): Cost per test (USD) $19, Score 53.53%AClaude Fable 5.1 (Anthropic): Cost per test (USD) $17, Score 58.08%AClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $17, Score 64.14%AClaude Opus 5.5 (Anthropic): Cost per test (USD) $13, Score 65.15%AClaude Opus 5.5Claude Sonnet 5.5
Terminal-Bench 4.0: Score vs Cost per test (USD)Scatter plot of 25 models. Leader on Score: Claude Opus 5.5 at 65.15%. Anthropic models highlighted. Full values in the table below.$.1$1$10$10020%30%40%50%60%COST PER TEST (USD) · LOG SCALESCOREMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.22, Score 24.24%XiMuse Spark 1.3 Max (Meta): Cost per test (USD) $6.65, Score 24.75%MMiniMax-M3.1-Flash (MiniMax): Cost per test (USD) $0.73, Score 25.25%MMMistral Large 4 (Mistral): Cost per test (USD) $10, Score 27.78%MiGrok 4.7 (xAI): Cost per test (USD) $18, Score 28.79%XMiMo V2.6 Pro (Xiaomi): Cost per test (USD) $0.50, Score 31.31%XiStep 5 Preview (Other): Cost per test (USD) $3.11, Score 31.82%·DeepSeek V4.1 Flash 1017 (DeepSeek): Cost per test (USD) $0.54, Score 31.82%DQwen 3.8 Max (Alibaba): Cost per test (USD) $11, Score 34.34%QGLM 5.3 Flash (Z.ai): Cost per test (USD) $1.22, Score 37.37%ZGPT-5.6 Sol (OpenAI): Cost per test (USD) $7.98, Score 37.88%OGLM 5.3 (Z.ai): Cost per test (USD) $9.37, Score 38.89%ZGPT-6 Sol (OpenAI): Cost per test (USD) $5.79, Score 44.44%OWonder (Meta): Cost per test (USD) $15, Score 49.49%MGPT-6.1 Sol (OpenAI): Cost per test (USD) $1.72, Score 55.05%OGemini 4 Argon (Google): Cost per test (USD) $18, Score 57.58%GWonder Full (Meta): Cost per test (USD) $11, Score 58.08%MGPT-6 Astra (OpenAI): Cost per test (USD) $9.58, Score 59.60%OClaude Opus 4.8 (Anthropic): Cost per test (USD) $17, Score 23.23%AClaude Haiku 5.5 (Anthropic): Cost per test (USD) $3.12, Score 36.36%AClaude Fable 5 (Anthropic): Cost per test (USD) $30, Score 41.41%AClaude Opus 5 (Anthropic): Cost per test (USD) $19, Score 53.53%AClaude Fable 5.1 (Anthropic): Cost per test (USD) $17, Score 58.08%AClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $17, Score 64.14%AClaude Opus 5.5 (Anthropic): Cost per test (USD) $13, Score 65.15%AClaude Opus 5.5Claude Sonnet 5.5
Terminal-Bench 4.0: top 15 by ScoreBars from zero. Leader: Claude Opus 5.5 at 65.15%. Anthropic models highlighted. Full values in the table below.0%20%40%60%80%Claude Opus 5.5 (Anthropic), rank 1: 65.15%AClaude Opus 5.565.15%Claude Sonnet 5.5 (Anthropic), rank 2: 64.14%AClaude Sonnet 5.564.14%GPT-6 Astra (OpenAI), rank 3: 59.60%OGPT-6 Astra59.60%Claude Fable 5.1 (Anthropic), rank 4: 58.08%AClaude Fable 5.158.08%Wonder Full (Meta), rank 5: 58.08%MWonder Full58.08%Gemini 4 Argon (Google), rank 6: 57.58%GGemini 4 Argon57.58%GPT-6.1 Sol (OpenAI), rank 7: 55.05%OGPT-6.1 Sol55.05%Claude Opus 5 (Anthropic), rank 8: 53.53%AClaude Opus 553.53%Wonder (Meta), rank 9: 49.49%MWonder49.49%GPT-6 Sol (OpenAI), rank 10: 44.44%OGPT-6 Sol44.44%Claude Fable 5 (Anthropic), rank 11: 41.41%AClaude Fable 541.41%GLM 5.3 (Z.ai), rank 12: 38.89%ZGLM 5.338.89%GPT-5.6 Sol (OpenAI), rank 13: 37.88%OGPT-5.6 Sol37.88%GLM 5.3 Flash (Z.ai), rank 14: 37.37%ZGLM 5.3 Flash37.37%Claude Haiku 5.5 (Anthropic), rank 15: 36.36%AClaude Haiku 5.536.36%Claude Opus 4.8 (Anthropic), rank 25: 23.23%A#25 Claude Opus 4.823.23%
Terminal-Bench 4.0: top 12 by ScoreBars from zero. Leader: Claude Opus 5.5 at 65.15%. Anthropic models highlighted. Full values in the table below.0%25%50%75%Claude Opus 5.5 (Anthropic), rank 1: 65.15%AClaude Opus 5.565.15%Claude Sonnet 5.5 (Anthropic), rank 2: 64.14%AClaude Sonnet 5.564.14%GPT-6 Astra (OpenAI), rank 3: 59.60%OGPT-6 Astra59.60%Claude Fable 5.1 (Anthropic), rank 4: 58.08%AClaude Fable 5.158.08%Wonder Full (Meta), rank 5: 58.08%MWonder Full58.08%Gemini 4 Argon (Google), rank 6: 57.58%GGemini 4 Argon57.58%GPT-6.1 Sol (OpenAI), rank 7: 55.05%OGPT-6.1 Sol55.05%Claude Opus 5 (Anthropic), rank 8: 53.53%AClaude Opus 553.53%Wonder (Meta), rank 9: 49.49%MWonder49.49%GPT-6 Sol (OpenAI), rank 10: 44.44%OGPT-6 Sol44.44%Claude Fable 5 (Anthropic), rank 11: 41.41%AClaude Fable 541.41%GLM 5.3 (Z.ai), rank 12: 38.89%ZGLM 5.338.89%Claude Haiku 5.5 (Anthropic), rank 15: 36.36%A#15 Claude Haiku…36.36%Claude Opus 4.8 (Anthropic), rank 25: 23.23%A#25 Claude Opus …23.23%
Score
Share of terminal tasks completed and verified by tests.
Cost per test (USD)
Average API cost per task, as published.

All scores

Terminal-Bench 4.0 scores, Anthropic models highlighted
RankModelProviderScoreCost per test (USD)HarnessPrice in / out ($/1M tokens)
1 Claude Opus 5.5Anthropic65.15%$13Mini-SWE-agent$4 / $20
2 Claude Sonnet 5.5Anthropic64.14%$17Mini-SWE-agent$2 / $10
3 GPT-6 AstraOpenAI59.60%$9.58Mini-SWE-agent$10 / $50
4 Claude Fable 5.1Anthropic58.08%$17Mini-SWE-agent$10 / $50
5 Wonder FullMeta58.08%$11Mini-SWE-agent$4 / $20
6 Gemini 4 ArgonGoogle57.58%$18Mini-SWE-agent$4 / $20
7 GPT-6.1 SolOpenAI55.05%$1.72Mini-SWE-agent$2 / $10
8 Claude Opus 5Anthropic53.53%$19Mini-SWE-agent$5 / $25
9 WonderMeta49.49%$15Mini-SWE-agent$4 / $20
10 GPT-6 SolOpenAI44.44%$5.79Mini-SWE-agent$2 / $10
Show 15 more rows
RankModelProviderScoreCost per test (USD)HarnessPrice in / out ($/1M tokens)
11 Claude Fable 5Anthropic41.41%$30Mini-SWE-agent$10 / $50
12 GLM 5.3Z.ai38.89%$9.37Mini-SWE-agent$1.4 / $4.4
13 GPT-5.6 SolOpenAI37.88%$7.98Mini-SWE-agent$4 / $20
14 GLM 5.3 FlashZ.ai37.37%$1.22Mini-SWE-agent$0.075 / $0.25
15 Claude Haiku 5.5Anthropic36.36%$3.12Mini-SWE-agent$0.1 / $0.5
16 Qwen 3.8 MaxAlibaba34.34%$11Mini-SWE-agent$2 / $6
17 DeepSeek V4.1 Flash 1017DeepSeek31.82%$0.54Mini-SWE-agent$0.3 / $1.2
18 Step 5 PreviewOther31.82%$3.11Mini-SWE-agent$1 / $2.7
19 MiMo V2.6 ProXiaomi31.31%$0.50Mini-SWE-agent$0.435 / $0.87
20 Grok 4.7xAI28.79%$18Mini-SWE-agent$2 / $6
21 Mistral Large 4Mistral27.78%$10Mini-SWE-agent$1.36 / $4.18
22 MiniMax-M3.1-FlashMiniMax25.25%$0.73Mini-SWE-agent$0.15 / $0.6
23 Muse Spark 1.3 MaxMeta24.75%$6.65Mini-SWE-agent$1.25 / $4.25
24 MiMo V2.6 FlashXiaomi24.24%$0.22Mini-SWE-agent$0.14 / $0.28
25 Claude Opus 4.8Anthropic23.23%$17Mini-SWE-agent$5 / $25

Source: Vals AI leaderboard ↗ · Terminal-Bench project ↗

Best-ranked Anthropic model here: Claude Opus 5.5 (Anthropic). Try prompts for Claude →

Prompts for this kind of work

Copy-ready prompts from our library that match what Terminal-Bench 4.0 tests. Run them on your own material to compare models.