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About Ranking methodology Changelog

v0.1.66.c14ade6abf77浙ICP备09076226号-7

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SWE Atlas-Codebase QnACoding

Results for 14 models collected from 5 public sources.

Ranking Sources

#ModelScore

1

Qwen3.8-MaxAlibaba · 0902

66.3%

2

Claude Opus 5Anthropic

63.2%

3

Mistral Large 4Mistral AI

59.4%

4

Muse Spark 1.3Meta · max mode

59.4%

5

Muse Spark OpenMeta

58.0%

6

GPT-5.6 SolOpenAI · max mode

53.5%

7

Muse Spark 1.2Meta · xhigh mode

46.2%

8

GPT-5.5OpenAI

45.4%

9

Claude Opus 4.7Anthropic

45.2%

10

Claude Fable 5Anthropic

39.0%

14 models total

Benchmark details loading

Back to benchmarks

SWE Atlas-Codebase QnACoding

Results for 14 models collected from 5 public sources.

Ranking Sources

#ModelScore

1

Qwen3.8-MaxAlibaba · 0902

66.3%

2

Claude Opus 5Anthropic

63.2%

3

Mistral Large 4Mistral AI

59.4%

4

Muse Spark 1.3Meta · max mode

59.4%

5

Muse Spark OpenMeta

58.0%

6

GPT-5.6 SolOpenAI · max mode

53.5%

7

Muse Spark 1.2Meta · xhigh mode

46.2%

8

GPT-5.5OpenAI

45.4%

9

Claude Opus 4.7Anthropic

45.2%

10

Claude Fable 5Anthropic

39.0%

14 models total