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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 7, 2026

Published models44
Registry coverage44
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

SWE-Bench Pro leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

44 rows
Columns

Show columns

1ANClaude Fable 5Anthropic80.0%100.0%44CAug 7, 2026
2ANClaude Mythos PreviewAnthropic77.8%97.7%44CAug 7, 2026
3ANClaude Opus 4.8Anthropic69.2%95.3%44CAug 7, 2026
4ACQwen3.8 MaxAlibaba Cloud / Qwen Team67.7%93.0%44CAug 7, 2026
5XAGrok 4.5xAI64.7%90.7%44CAug 7, 2026
6OPGPT-5.6 SolOpenAI64.6%88.4%44CAug 7, 2026
7ANClaude Opus 4.7Anthropic64.3%86.0%44CAug 7, 2026
8OPGPT-5.6 TerraOpenAI63.4%83.7%44CAug 7, 2026
9ANClaude Sonnet 5Anthropic63.2%81.4%44CAug 7, 2026
10OPGPT-5.6 LunaOpenAI62.7%79.1%44CAug 7, 2026
11ZAGLM-5.2Zhipu AI62.1%76.7%44CAug 7, 2026
12MEMuse Spark 1.1Meta61.5%74.4%44CAug 7, 2026
13ACQwen3.7 MaxAlibaba Cloud / Qwen Team60.6%72.1%44CAug 7, 2026
14MIMiniMax M3MiniMax59.0%69.8%44CAug 7, 2026
15GOGemini 3.6 FlashGoogle58.7%67.4%44CAug 7, 2026
16OPGPT-5.5OpenAI58.6%65.1%44CAug 7, 2026
17MAKimi K2.6Moonshot AI58.6%62.8%44CAug 7, 2026
18ZAGLM-5.1Zhipu AI58.4%60.5%44CAug 7, 2026
19TEHy3Tencent57.9%58.1%44CAug 7, 2026
20OPGPT-5.4OpenAI57.7%55.8%44CAug 7, 2026
21ACQwen3.7-PlusAlibaba Cloud / Qwen Team57.6%53.5%44CAug 7, 2026
22BYSeed 2.1 ProByteDance57.5%51.2%44CAug 7, 2026
23XIMiMo-V2.5-ProXiaomi57.2%48.8%44CAug 7, 2026
24BYSeed 2.1 TurboByteDance57.0%46.5%44CAug 7, 2026
25OPGPT-5.3 CodexOpenAI56.8%44.2%44CAug 7, 2026
26ACQwen3.6 PlusAlibaba Cloud / Qwen Team56.6%41.9%44CAug 7, 2026
27OPGPT-5.2 CodexOpenAI56.4%39.5%44CAug 7, 2026
28MIMiniMax M2.7MiniMax56.2%37.2%44CAug 7, 2026
29XIMiMo-V2.5Xiaomi56.1%34.9%44CAug 7, 2026
30DEDeepSeek-V4-Pro-MaxDeepSeek55.4%32.6%44CAug 7, 2026
31MIMiniMax M2.5MiniMax55.4%30.2%44CAug 7, 2026
32GOGemini 3.5 FlashGoogle55.1%27.9%44CAug 7, 2026
33OPGPT-5.4 miniOpenAI54.4%25.6%44CAug 7, 2026
34GOGemini 3.1 ProGoogle54.2%23.3%44CAug 7, 2026
35GOGemini 3.5 Flash-LiteGoogle54.2%20.9%44CAug 7, 2026
36ACQwen3.6-27BAlibaba Cloud / Qwen Team53.5%18.6%44CAug 7, 2026
37MIMAI-Thinking-1Microsoft52.8%16.3%44CAug 7, 2026
38DEDeepSeek-V4-Flash-MaxDeepSeek52.6%13.9%44CAug 7, 2026
39OPGPT-5.4 nanoOpenAI52.4%11.6%44CAug 7, 2026
40MEMuse SparkMeta52.4%9.3%44CAug 7, 2026
41MIMAI-Code-1-FlashMicrosoft51.2%7.0%44CAug 7, 2026
42MAKimi K2.5Moonshot AI50.7%4.7%44CAug 7, 2026
43ACQwen3.6-35B-A3BAlibaba Cloud / Qwen Team49.5%2.3%44CAug 7, 2026
44CONorth Mini Code 1.0Cohere40.2%0.0%44CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

SWE-Bench Pro

SWE-Bench Pro highlights

The top published results on this benchmark's own scale.

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?

Definition and scoring fields from the benchmark registry.

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. The current registry marks this benchmark as not independently verified with evidence level B.

Family
SWE-Bench Pro
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
swe-bench-pro|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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?

44 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
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