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reasoning benchmark

SWE-Bench Pro

SWE-Bench Pro is an advanced version of SWE-Bench that evaluates language models on complex, real-world software engineering tasks requiring extended reasoning and multi-step problem solving.

Updated Aug 11, 2026

Models45
Model coverage45
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

SWE-Bench Pro Ranking

Higher score ranks better on this benchmark.

45 rows
Columns

Show columns

01ANClaude Fable 5Anthropic80.0%100.0%45CAug 11, 2026
02ANClaude Mythos PreviewAnthropic77.8%97.7%45CAug 11, 2026
03ANClaude Opus 4.8Anthropic69.2%95.5%45CAug 11, 2026
04ACQwen3.8 MaxAlibaba Cloud / Qwen Team67.7%93.2%45CAug 11, 2026
05XAGrok 4.5xAI64.7%90.9%45CAug 11, 2026
06OPGPT-5.6 SolOpenAI64.6%88.6%45CAug 11, 2026
07ANClaude Opus 4.7Anthropic64.3%86.4%45CAug 11, 2026
08OPGPT-5.6 TerraOpenAI63.4%84.1%45CAug 11, 2026
09ANClaude Sonnet 5Anthropic63.2%81.8%45CAug 11, 2026
10OPGPT-5.6 LunaOpenAI62.7%79.5%45CAug 11, 2026
11ZAGLM-5.2Zhipu AI62.1%77.3%45CAug 11, 2026
12MEMuse Spark 1.1Meta61.5%75.0%45CAug 11, 2026
13ACQwen3.7 MaxAlibaba Cloud / Qwen Team60.6%72.7%45CAug 11, 2026
14MIMiniMax M3MiniMax59.0%70.5%45CAug 11, 2026
15GOGemini 3.6 FlashGoogle58.7%68.2%45CAug 11, 2026
16OPGPT-5.5OpenAI58.6%65.9%45CAug 11, 2026
17MAKimi K2.6Moonshot AI58.6%63.6%45CAug 11, 2026
18ZAGLM-5.1Zhipu AI58.4%61.4%45CAug 11, 2026
19TEHy3Tencent57.9%59.1%45CAug 11, 2026
20OPGPT-5.4OpenAI57.7%56.8%45CAug 11, 2026
21ACQwen3.7-PlusAlibaba Cloud / Qwen Team57.6%54.5%45CAug 11, 2026
22BYSeed 2.1 ProByteDance57.5%52.3%45CAug 11, 2026
23XIMiMo-V2.5-ProXiaomi57.2%50.0%45CAug 11, 2026
24BYSeed 2.1 TurboByteDance57.0%47.7%45CAug 11, 2026
25OPGPT-5.3 CodexOpenAI56.8%45.5%45CAug 11, 2026
26ACQwen3.6 PlusAlibaba Cloud / Qwen Team56.6%43.2%45CAug 11, 2026
27OPGPT-5.2 CodexOpenAI56.4%40.9%45CAug 11, 2026
28MIMiniMax M2.7MiniMax56.2%38.6%45CAug 11, 2026
29XIMiMo-V2.5Xiaomi56.1%36.4%45CAug 11, 2026
30DEDeepSeek-V4-Pro-MaxDeepSeek55.4%34.1%45CAug 11, 2026
31MIMiniMax M2.5MiniMax55.4%31.8%45CAug 11, 2026
32GOGemini 3.5 FlashGoogle55.1%29.6%45CAug 11, 2026
33OPGPT-5.4 miniOpenAI54.4%27.3%45CAug 11, 2026
34GOGemini 3.1 ProGoogle54.2%25.0%45CAug 11, 2026
35GOGemini 3.5 Flash-LiteGoogle54.2%22.7%45CAug 11, 2026
36ACQwen3.6-27BAlibaba Cloud / Qwen Team53.5%20.4%45CAug 11, 2026
37MIMAI-Thinking-1Microsoft52.8%18.2%45CAug 11, 2026
38DEDeepSeek-V4-Flash-MaxDeepSeek52.6%15.9%45CAug 11, 2026
39OPGPT-5.4 nanoOpenAI52.4%13.6%45CAug 11, 2026
40MEMuse SparkMeta52.4%11.4%45CAug 11, 2026
41MIMAI-Code-1-FlashMicrosoft51.2%9.1%45CAug 11, 2026
42MEMuse Glimmer-30BMeta51.2%6.8%45CAug 11, 2026
43MAKimi K2.5Moonshot AI50.7%4.5%45CAug 11, 2026
44ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team49.5%2.3%45CAug 11, 2026
45CONorth Mini Code 1.0Cohere40.2%0.0%45CAug 11, 2026

SWE-Bench Pro Score Distribution

A closer view of the leading scores on this benchmark.

SWE-Bench Pro

SWE-Bench Pro Highlights

The leading models and scores on this benchmark.

Rank #1Claude Fable 580.0%Rank #2Claude Mythos Preview77.8%Rank #3Claude Opus 4.869.2%Rank #4Qwen3.8 Max67.7%

What is SWE-Bench Pro?

What SWE-Bench Pro measures and how its scores work.

SWE-Bench Pro is an advanced version of SWE-Bench that evaluates language models on complex, real-world software engineering tasks requiring extended reasoning and multi-step problem solving.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
SWE-Bench Pro
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
swe-bench-pro|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about SWE-Bench Pro.

Which model scores highest on SWE-Bench Pro?

Claude Fable 5 is currently ranked first with 80.0%.

What does SWE-Bench Pro measure?

SWE-Bench Pro is an advanced version of SWE-Bench that evaluates language models on complex, real-world software engineering tasks requiring extended reasoning and multi-step problem solving.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

45 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.