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SWE-bench Verified leaderboard (Sep 2026): AI model scores

As of 1 Sep 2026, the highest reported OpenAI score on SWE-bench Verified is GPT-5.6 Sol (OpenAI) at 96.2%, #3 on that leaderboard, per Vals AI. The source no longer updates this leaderboard.

What it measures

Resolving real-world GitHub issues with a code patch, checked by unit tests.

Fixing real GitHub issues in open-source Python projects; a fix counts if the project tests pass.

What the score means

Score: share of issues resolved

Share of issues resolved: the model’s patch makes the unit tests pass.

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 Princeton/OpenAI). Leaderboard dated 1 Sep 2026 (no longer updated by the source). Last checked 22 Oct 2026. Showing top 25 of 88 models listed.

Highlight a provider: Anthropic OpenAI Google xAI Meta DeepSeek Alibaba Z.ai Moonshot

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

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • Meta
  • DeepSeek
  • Alibaba
  • Z.ai
  • Moonshot
  • Other
SWE-bench Verified: Score vs Cost per test (USD)Scatter plot of 24 models. Leader on Score: Claude Opus 5 at 97.0%. OpenAI models highlighted. Full values in the table below.$.01$.1$1$1075%80%85%90%95%100%COST PER TEST (USD) · LOG SCALESCOREGemini 3.8 Flash (Google): Cost per test (USD) $2.19, Score 80.0%GGemini 3.7 Flash (Google): Cost per test (USD) $1.44, Score 80.8%GClaude Opus 4.7 (Anthropic): Cost per test (USD) $2.42, Score 82.0%AMuse Spark 1.1 (Meta): Cost per test (USD) $0.35, Score 82.0%MInkling Small (Other): Cost per test (USD) $0.13, Score 82.2%·GLM 5.2 (Z.ai): Cost per test (USD) $0.71, Score 82.8%ZQwen 3.8 Max (Alibaba): Cost per test (USD) $1.13, Score 85.6%QClaude Opus 4.8 (Anthropic): Cost per test (USD) $0.67, Score 85.8%AQwen 3.8 27B (Alibaba): Cost per test (USD) $1.08, Score 86.0%QMuse Spark 1.2 (Meta): Cost per test (USD) $0.55, Score 86.6%MGrok 4.5 (xAI): Cost per test (USD) $0.54, Score 86.6%XClaude Opus 4.8 (Anthropic): Cost per test (USD) $1.92, Score 88.6%ADeepSeek V4 Flash 0731 (DeepSeek): Cost per test (USD) $0.010, Score 88.8%DGLM 5.3 Flash (Z.ai): Cost per test (USD) $0.020, Score 92.0%ZKimi K3 (Moonshot): Cost per test (USD) $0.76, Score 93.4%KClaude Fable 5 (Anthropic): Cost per test (USD) $2.05, Score 95.0%AGLM 5.3 (Z.ai): Cost per test (USD) $0.34, Score 95.4%ZGrok 4.6 (xAI): Cost per test (USD) $0.78, Score 95.6%XDeepSeek V4 Pro 0813 (DeepSeek): Cost per test (USD) $0.10, Score 96.4%DClaude Opus 5 (Anthropic): Cost per test (USD) $1.29, Score 97.0%AGPT 5.5 (OpenAI): Cost per test (USD) $1.36, Score 82.6%OGPT-5.6 Luna (OpenAI): Cost per test (USD) $0.040, Score 93.0%OGPT-5.6 Terra (OpenAI): Cost per test (USD) $0.40, Score 95.4%OGPT-5.6 Sol (OpenAI): Cost per test (USD) $1.15, Score 96.2%OGPT-5.6 SolGPT-5.6 TerraClaude Opus 5
SWE-bench Verified: Score vs Cost per test (USD)Scatter plot of 24 models. Leader on Score: Claude Opus 5 at 97.0%. OpenAI models highlighted. Full values in the table below.$.01$.1$1$1075%80%85%90%95%100%COST PER TEST (USD) · LOG SCALESCOREGemini 3.8 Flash (Google): Cost per test (USD) $2.19, Score 80.0%GGemini 3.7 Flash (Google): Cost per test (USD) $1.44, Score 80.8%GClaude Opus 4.7 (Anthropic): Cost per test (USD) $2.42, Score 82.0%AMuse Spark 1.1 (Meta): Cost per test (USD) $0.35, Score 82.0%MInkling Small (Other): Cost per test (USD) $0.13, Score 82.2%·GLM 5.2 (Z.ai): Cost per test (USD) $0.71, Score 82.8%ZQwen 3.8 Max (Alibaba): Cost per test (USD) $1.13, Score 85.6%QClaude Opus 4.8 (Anthropic): Cost per test (USD) $0.67, Score 85.8%AQwen 3.8 27B (Alibaba): Cost per test (USD) $1.08, Score 86.0%QMuse Spark 1.2 (Meta): Cost per test (USD) $0.55, Score 86.6%MGrok 4.5 (xAI): Cost per test (USD) $0.54, Score 86.6%XClaude Opus 4.8 (Anthropic): Cost per test (USD) $1.92, Score 88.6%ADeepSeek V4 Flash 0731 (DeepSeek): Cost per test (USD) $0.010, Score 88.8%DGLM 5.3 Flash (Z.ai): Cost per test (USD) $0.020, Score 92.0%ZKimi K3 (Moonshot): Cost per test (USD) $0.76, Score 93.4%KClaude Fable 5 (Anthropic): Cost per test (USD) $2.05, Score 95.0%AGLM 5.3 (Z.ai): Cost per test (USD) $0.34, Score 95.4%ZGrok 4.6 (xAI): Cost per test (USD) $0.78, Score 95.6%XDeepSeek V4 Pro 0813 (DeepSeek): Cost per test (USD) $0.10, Score 96.4%DClaude Opus 5 (Anthropic): Cost per test (USD) $1.29, Score 97.0%AGPT 5.5 (OpenAI): Cost per test (USD) $1.36, Score 82.6%OGPT-5.6 Luna (OpenAI): Cost per test (USD) $0.040, Score 93.0%OGPT-5.6 Terra (OpenAI): Cost per test (USD) $0.40, Score 95.4%OGPT-5.6 Sol (OpenAI): Cost per test (USD) $1.15, Score 96.2%OGPT-5.6 SolGPT-5.6 TerraClaude Opus 5
SWE-bench Verified: top 15 by ScoreDot plot, axis starting at 75% (not zero). Leader: Claude Opus 5 at 97.0%. OpenAI models highlighted. Full values in the table below.75%80%85%90%95%100%SCORE · AXIS STARTS AT 75%, NOT ZEROClaude Opus 5 (Anthropic), rank 1: 97.0%AClaude Opus 597.0%DeepSeek V4 Pro 0813 (DeepSeek), rank 2: 96.4%DDeepSeek V4 Pro 081396.4%GPT-5.6 Sol (OpenAI), rank 3: 96.2%OGPT-5.6 Sol96.2%Grok 4.6 (xAI), rank 4: 95.6%XGrok 4.695.6%GPT-5.6 Terra (OpenAI), rank 5: 95.4%OGPT-5.6 Terra95.4%GLM 5.3 (Z.ai), rank 6: 95.4%ZGLM 5.395.4%Claude Fable 5 (Anthropic), rank 7: 95.0%AClaude Fable 595.0%Kimi K3 (Moonshot), rank 8: 93.4%KKimi K393.4%GPT-5.6 Luna (OpenAI), rank 9: 93.0%OGPT-5.6 Luna93.0%GLM 5.3 Flash (Z.ai), rank 10: 92.0%ZGLM 5.3 Flash92.0%DeepSeek V4 Flash 0731 (DeepSeek), rank 11: 88.8%DDeepSeek V4 Flash 073188.8%Claude Opus 4.8 (Anthropic), rank 12: 88.6%AClaude Opus 4.888.6%Grok 4.5 (xAI), rank 13: 86.6%XGrok 4.586.6%Muse Spark 1.2 (Meta), rank 14: 86.6%MMuse Spark 1.286.6%Qwen 3.8 27B (Alibaba), rank 15: 86.0%QQwen 3.8 27B86.0%GPT 5.5 (OpenAI), rank 19: 82.6%O#19 GPT 5.582.6%
SWE-bench Verified: top 12 by ScoreDot plot, axis starting at 70% (not zero). Leader: Claude Opus 5 at 97.0%. OpenAI models highlighted. Full values in the table below.70%80%90%100%AXIS STARTS AT 70%, NOT ZEROClaude Opus 5 (Anthropic), rank 1: 97.0%AClaude Opus 597.0%DeepSeek V4 Pro 0813 (DeepSeek), rank 2: 96.4%DDeepSeek V4 Pro …96.4%GPT-5.6 Sol (OpenAI), rank 3: 96.2%OGPT-5.6 Sol96.2%Grok 4.6 (xAI), rank 4: 95.6%XGrok 4.695.6%GPT-5.6 Terra (OpenAI), rank 5: 95.4%OGPT-5.6 Terra95.4%GLM 5.3 (Z.ai), rank 6: 95.4%ZGLM 5.395.4%Claude Fable 5 (Anthropic), rank 7: 95.0%AClaude Fable 595.0%Kimi K3 (Moonshot), rank 8: 93.4%KKimi K393.4%GPT-5.6 Luna (OpenAI), rank 9: 93.0%OGPT-5.6 Luna93.0%GLM 5.3 Flash (Z.ai), rank 10: 92.0%ZGLM 5.3 Flash92.0%DeepSeek V4 Flash 0731 (DeepSeek), rank 11: 88.8%DDeepSeek V4 Flas…88.8%Claude Opus 4.8 (Anthropic), rank 12: 88.6%AClaude Opus 4.888.6%GPT 5.5 (OpenAI), rank 19: 82.6%O#19 GPT 5.582.6%
Score
Share of issues resolved: the model’s patch makes the unit tests pass.
Cost per test (USD)
Average API cost per issue, as published.

All scores

SWE-bench Verified scores, OpenAI models highlighted
RankModelProviderScoreCost per test (USD)HarnessPrice in / out ($/1M tokens)
1 Claude Opus 5Anthropic97.0%$1.29Mini-SWE-agent$5 / $25
2 DeepSeek V4 Pro 0813DeepSeek96.4%$0.10Mini-SWE-agent$1.32 / $3.96
3 GPT-5.6 SolOpenAI96.2%$1.15Mini-SWE-agent$4 / $20
4 Grok 4.6xAI95.6%$0.78Mini-SWE-agent$2 / $6
5 GPT-5.6 TerraOpenAI95.4%$0.40Mini-SWE-agent$2 / $12
6 GLM 5.3Z.ai95.4%$0.34Mini-SWE-agent$1.4 / $4.4
7 Claude Fable 5Anthropic95.0%$2.05Mini-SWE-agent$10 / $50
8 Kimi K3Moonshot93.4%$0.76Mini-SWE-agent$3 / $15
9 GPT-5.6 LunaOpenAI93.0%$0.040Mini-SWE-agent$0.2 / $1.2
10 GLM 5.3 FlashZ.ai92.0%$0.020Mini-SWE-agent$0.075 / $0.25
Show 15 more rows
RankModelProviderScoreCost per test (USD)HarnessPrice in / out ($/1M tokens)
11 DeepSeek V4 Flash 0731DeepSeek88.8%$0.010Mini-SWE-agent$0.44 / $1.32
12 Claude Opus 4.8Anthropic88.6%$1.92Mini-SWE-agent$5 / $25
13 Grok 4.5xAI86.6%$0.54Mini-SWE-agent$2 / $6
14 Muse Spark 1.2Meta86.6%$0.55Mini-SWE-agent$1.25 / $4.25
15 Qwen 3.8 27BAlibaba86.0%$1.08Mini-SWE-agent$0.5 / $3
16 Claude Opus 4.8Anthropic85.8%$0.67Claude CodeN/A
17 Qwen 3.8 MaxAlibaba85.6%$1.13Mini-SWE-agent$2 / $6
18 GLM 5.2Z.ai82.8%$0.71Mini-SWE-agent$1.4 / $4.4
19 GPT 5.5OpenAI82.6%$1.36Mini-SWE-agent$5 / $30
20 Inkling SmallOther82.2%$0.13Mini-SWE-agent$0.3 / $1.2
21 Muse Spark 1.1Meta82.0%$0.35Mini-SWE-agent$1.25 / $4.25
22 Claude Opus 4.7Anthropic82.0%$2.42Mini-SWE-agent$5 / $25
23 Gemini 3.7 FlashGoogle80.8%$1.44Mini-SWE-agent$1.5 / $7.5
24 Gemini 3.8 FlashGoogle80.0%$2.19Mini-SWE-agent$1.5 / $7.5
25 Composer 2.5Other79.6%–Cursor CLI$0.5 / $2.5

Source: Vals AI leaderboard ↗ · SWE-bench project ↗

Best-ranked OpenAI model here: GPT-5.6 Sol (OpenAI). Try prompts for ChatGPT →

Prompts for this kind of work

Copy-ready prompts from our library that match what SWE-bench Verified tests. Run them on your own material to compare models.