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Terminal-Bench 2.1 leaderboard (Sep 2026): AI model scores

As of 28 Sep 2026, the highest reported Google score on Terminal-Bench 2.1 is Gemini 3.8 Flash (Google) at 81.27%, #8 on that leaderboard, per Vals AI. The source no longer updates this leaderboard.

What it measures

A set of difficult terminal-based tasks, now superseded by Terminal-Bench 4.0.

The earlier, widely reported Terminal-Bench task set for command-line agents.

What the score means

Score: tasks where the agent passes all tests

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 Leaderboard dated 28 Sep 2026 (no longer updated by the source). Last checked 22 Oct 2026. Showing top 25 of 76 models listed.

Highlight a provider: Anthropic OpenAI Google xAI Meta DeepSeek Moonshot Xiaomi

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

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • Meta
  • DeepSeek
  • Moonshot
  • Xiaomi
Terminal-Bench 2.1: Score vs Cost per test (USD)Scatter plot of 25 models. Leader on Score: Claude Opus 5.5 at 87.64%. Google models highlighted. Full values in the table below.$.01$.1$1$1070%75%80%85%COST PER TEST (USD) · LOG SCALESCOREClaude Opus 4.8 (Anthropic): Cost per test (USD) $2.41, Score 71.91%AMuse Spark 1.3 (Meta): Cost per test (USD) $0.66, Score 72.28%MGPT-6 Luna (OpenAI): Cost per test (USD) $0.030, Score 73.03%OGrok 4.7 (xAI): Cost per test (USD) $1.08, Score 73.41%XClaude Sonnet 5 (Anthropic): Cost per test (USD) $0.53, Score 74.53%ADeepSeek V4.1 Flash (DeepSeek): Cost per test (USD) $0.10, Score 74.53%DMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.020, Score 76.40%XiGPT 5.5 (OpenAI): Cost per test (USD) $0.74, Score 76.40%OGPT-5.6 Terra (OpenAI): Cost per test (USD) $0.47, Score 77.53%OGrok 4.6 (xAI): Cost per test (USD) $0.45, Score 78.28%XMuse Spark 1.3 Max (Meta): Cost per test (USD) $0.60, Score 79.03%MGPT-5.6 Luna (OpenAI): Cost per test (USD) $0.050, Score 79.03%OClaude Fable 5 (Anthropic): Cost per test (USD) $1.43, Score 80.52%AKimi K3 (Moonshot): Cost per test (USD) $0.34, Score 80.90%KClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $0.63, Score 83.15%AGPT-6 Sol (OpenAI): Cost per test (USD) $0.37, Score 83.15%OClaude Opus 5 (Anthropic): Cost per test (USD) $0.89, Score 84.64%AClaude Fable 5.1 (Anthropic): Cost per test (USD) $3.07, Score 85.02%AGPT-5.6 Sol (OpenAI): Cost per test (USD) $1.02, Score 85.77%OGPT-6 Astra (OpenAI): Cost per test (USD) $1.34, Score 87.27%OClaude Opus 5.5 (Anthropic): Cost per test (USD) $0.50, Score 87.64%AGemini 3.6 Flash (Google): Cost per test (USD) $1.17, Score 73.78%GGemini 3.5 Flash (Google): Cost per test (USD) $0.87, Score 74.16%GGemini 3.7 Flash (Google): Cost per test (USD) $1.02, Score 77.53%GGemini 3.8 Flash (Google): Cost per test (USD) $1.54, Score 81.27%GGemini 3.8 FlashGemini 3.7 FlashClaude Opus 5.5
Terminal-Bench 2.1: Score vs Cost per test (USD)Scatter plot of 25 models. Leader on Score: Claude Opus 5.5 at 87.64%. Google models highlighted. Full values in the table below.$.01$.1$1$1070%75%80%85%COST PER TEST (USD) · LOG SCALESCOREClaude Opus 4.8 (Anthropic): Cost per test (USD) $2.41, Score 71.91%AMuse Spark 1.3 (Meta): Cost per test (USD) $0.66, Score 72.28%MGPT-6 Luna (OpenAI): Cost per test (USD) $0.030, Score 73.03%OGrok 4.7 (xAI): Cost per test (USD) $1.08, Score 73.41%XClaude Sonnet 5 (Anthropic): Cost per test (USD) $0.53, Score 74.53%ADeepSeek V4.1 Flash (DeepSeek): Cost per test (USD) $0.10, Score 74.53%DMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.020, Score 76.40%XiGPT 5.5 (OpenAI): Cost per test (USD) $0.74, Score 76.40%OGPT-5.6 Terra (OpenAI): Cost per test (USD) $0.47, Score 77.53%OGrok 4.6 (xAI): Cost per test (USD) $0.45, Score 78.28%XMuse Spark 1.3 Max (Meta): Cost per test (USD) $0.60, Score 79.03%MGPT-5.6 Luna (OpenAI): Cost per test (USD) $0.050, Score 79.03%OClaude Fable 5 (Anthropic): Cost per test (USD) $1.43, Score 80.52%AKimi K3 (Moonshot): Cost per test (USD) $0.34, Score 80.90%KClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $0.63, Score 83.15%AGPT-6 Sol (OpenAI): Cost per test (USD) $0.37, Score 83.15%OClaude Opus 5 (Anthropic): Cost per test (USD) $0.89, Score 84.64%AClaude Fable 5.1 (Anthropic): Cost per test (USD) $3.07, Score 85.02%AGPT-5.6 Sol (OpenAI): Cost per test (USD) $1.02, Score 85.77%OGPT-6 Astra (OpenAI): Cost per test (USD) $1.34, Score 87.27%OClaude Opus 5.5 (Anthropic): Cost per test (USD) $0.50, Score 87.64%AGemini 3.6 Flash (Google): Cost per test (USD) $1.17, Score 73.78%GGemini 3.5 Flash (Google): Cost per test (USD) $0.87, Score 74.16%GGemini 3.7 Flash (Google): Cost per test (USD) $1.02, Score 77.53%GGemini 3.8 Flash (Google): Cost per test (USD) $1.54, Score 81.27%GGemini 3.8 FlashGemini 3.7 FlashClaude Opus 5.5
Terminal-Bench 2.1: top 15 by ScoreDot plot, axis starting at 65% (not zero). Leader: Claude Opus 5.5 at 87.64%. Google models highlighted. Full values in the table below.65%70%75%80%85%SCORE · AXIS STARTS AT 65%, NOT ZEROClaude Opus 5.5 (Anthropic), rank 1: 87.64%AClaude Opus 5.587.64%GPT-6 Astra (OpenAI), rank 2: 87.27%OGPT-6 Astra87.27%GPT-5.6 Sol (OpenAI), rank 3: 85.77%OGPT-5.6 Sol85.77%Claude Fable 5.1 (Anthropic), rank 4: 85.02%AClaude Fable 5.185.02%Claude Opus 5 (Anthropic), rank 5: 84.64%AClaude Opus 584.64%GPT-6 Sol (OpenAI), rank 6: 83.15%OGPT-6 Sol83.15%Claude Sonnet 5.5 (Anthropic), rank 7: 83.15%AClaude Sonnet 5.583.15%Gemini 3.8 Flash (Google), rank 8: 81.27%GGemini 3.8 Flash81.27%Kimi K3 (Moonshot), rank 9: 80.90%KKimi K380.90%Claude Fable 5 (Anthropic), rank 10: 80.52%AClaude Fable 580.52%GPT-5.6 Luna (OpenAI), rank 11: 79.03%OGPT-5.6 Luna79.03%Muse Spark 1.3 Max (Meta), rank 12: 79.03%MMuse Spark 1.3 Max79.03%Grok 4.6 (xAI), rank 13: 78.28%XGrok 4.678.28%Gemini 3.7 Flash (Google), rank 14: 77.53%GGemini 3.7 Flash77.53%GPT-5.6 Terra (OpenAI), rank 15: 77.53%OGPT-5.6 Terra77.53%Gemini 3.5 Flash (Google), rank 20: 74.16%G#20 Gemini 3.5 Flash74.16%Gemini 3.6 Flash (Google), rank 21: 73.78%G#21 Gemini 3.6 Flash73.78%
Terminal-Bench 2.1: top 12 by ScoreDot plot, axis starting at 60% (not zero). Leader: Claude Opus 5.5 at 87.64%. Google models highlighted. Full values in the table below.60%70%80%AXIS STARTS AT 60%, NOT ZEROClaude Opus 5.5 (Anthropic), rank 1: 87.64%AClaude Opus 5.587.64%GPT-6 Astra (OpenAI), rank 2: 87.27%OGPT-6 Astra87.27%GPT-5.6 Sol (OpenAI), rank 3: 85.77%OGPT-5.6 Sol85.77%Claude Fable 5.1 (Anthropic), rank 4: 85.02%AClaude Fable 5.185.02%Claude Opus 5 (Anthropic), rank 5: 84.64%AClaude Opus 584.64%GPT-6 Sol (OpenAI), rank 6: 83.15%OGPT-6 Sol83.15%Claude Sonnet 5.5 (Anthropic), rank 7: 83.15%AClaude Sonnet 5.583.15%Gemini 3.8 Flash (Google), rank 8: 81.27%GGemini 3.8 Flash81.27%Kimi K3 (Moonshot), rank 9: 80.90%KKimi K380.90%Claude Fable 5 (Anthropic), rank 10: 80.52%AClaude Fable 580.52%GPT-5.6 Luna (OpenAI), rank 11: 79.03%OGPT-5.6 Luna79.03%Muse Spark 1.3 Max (Meta), rank 12: 79.03%MMuse Spark 1.3 M…79.03%Gemini 3.7 Flash (Google), rank 14: 77.53%G#14 Gemini 3.7 F…77.53%Gemini 3.5 Flash (Google), rank 20: 74.16%G#20 Gemini 3.5 F…74.16%Gemini 3.6 Flash (Google), rank 21: 73.78%G#21 Gemini 3.6 F…73.78%
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 2.1 scores, Google models highlighted
RankModelProviderScoreCost per test (USD)HarnessPrice in / out ($/1M tokens)
1 Claude Opus 5.5Anthropic87.64%$0.50Terminus 2$4 / $20
2 GPT-6 AstraOpenAI87.27%$1.34Terminus 2$10 / $50
3 GPT-5.6 SolOpenAI85.77%$1.02Terminus 2$4 / $20
4 Claude Fable 5.1Anthropic85.02%$3.07Terminus 2$10 / $50
5 Claude Opus 5Anthropic84.64%$0.89Terminus 2$5 / $25
6 GPT-6 SolOpenAI83.15%$0.37Terminus 2$2 / $10
7 Claude Sonnet 5.5Anthropic83.15%$0.63Terminus 2$2 / $10
8 Gemini 3.8 FlashGoogle81.27%$1.54Terminus 2$1.5 / $7.5
9 Kimi K3Moonshot80.90%$0.34Terminus 2$3 / $15
10 Claude Fable 5Anthropic80.52%$1.43Terminus 2$10 / $50
Show 15 more rows
RankModelProviderScoreCost per test (USD)HarnessPrice in / out ($/1M tokens)
11 GPT-5.6 LunaOpenAI79.03%$0.050Terminus 2$0.2 / $1.2
12 Muse Spark 1.3 MaxMeta79.03%$0.60Terminus 2$1.25 / $4.25
13 Grok 4.6xAI78.28%$0.45Terminus 2$2 / $6
14 Gemini 3.7 FlashGoogle77.53%$1.02Terminus 2$1.5 / $7.5
15 GPT-5.6 TerraOpenAI77.53%$0.47Terminus 2$2 / $12
16 GPT 5.5OpenAI76.40%$0.74Terminus 2$5 / $30
17 MiMo V2.6 FlashXiaomi76.40%$0.020Terminus 2$0.14 / $0.28
18 DeepSeek V4.1 FlashDeepSeek74.53%$0.10Terminus 2$0.3 / $1.2
19 Claude Sonnet 5Anthropic74.53%$0.53Terminus 2$2 / $10
20 Gemini 3.5 FlashGoogle74.16%$0.87Terminus 2$1.5 / $9
21 Gemini 3.6 FlashGoogle73.78%$1.17Terminus 2$1.5 / $7.5
22 Grok 4.7xAI73.41%$1.08Terminus 2$2 / $6
23 GPT-6 LunaOpenAI73.03%$0.030Terminus 2$0.1 / $0.5
24 Muse Spark 1.3Meta72.28%$0.66Terminus 2$1.25 / $4.25
25 Claude Opus 4.8Anthropic71.91%$2.41Terminus 2$5 / $25

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

Best-ranked Google model here: Gemini 3.8 Flash (Google). Try prompts for Gemini →

Prompts for this kind of work

Copy-ready prompts from our library that match what Terminal-Bench 2.1 tests. Run them on your own material to compare models.