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agents benchmark

FrontierSWE

FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. Performance is reported as a dominance score, where higher is better.

Updated Aug 7, 2026

Published models15
Registry coverage15
MetricScore
EvidenceB

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  • FAQ

FrontierSWE leaderboard

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

15 rows
Columns

Show columns

1ANClaude Fable 5Anthropic90.0%100.0%15BAug 7, 2026
2MAKimi K3Moonshot AI81.2%92.9%15CAug 7, 2026
3ANClaude Opus 4.8Anthropic75.0%85.7%15BAug 7, 2026
4ZAGLM-5.2Zhipu AI74.0%78.6%15BAug 7, 2026
5ACQwen3.8 MaxAlibaba Cloud / Qwen Team73.5%71.4%15CAug 7, 2026
6OPGPT-5.5OpenAI73.0%64.3%15BAug 7, 2026
7ANClaude Opus 4.7Anthropic63.0%57.1%15BAug 7, 2026
8ANClaude Opus 4.6Anthropic56.0%50.0%15BAug 7, 2026
9OPGPT-5.4OpenAI54.0%42.9%15BAug 7, 2026
10GOGemini 3.1 ProGoogle40.0%35.7%15BAug 7, 2026
11ZAGLM-5.1Zhipu AI31.0%28.6%15BAug 7, 2026
12DEDeepSeek-V4-Pro-MaxDeepSeek29.0%21.4%15BAug 7, 2026
13MAKimi K2.6Moonshot AI27.0%14.3%15BAug 7, 2026
14MAKimi K2.5Moonshot AI26.0%7.1%15BAug 7, 2026
15ACQwen3.6 PlusAlibaba Cloud / Qwen Team22.0%0.0%15BAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

FrontierSWE

FrontierSWE highlights

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

Rank #1Claude Fable 590.0%Rank #2Kimi K381.2%Rank #3Claude Opus 4.875.0%Rank #4GLM-5.274.0%

What is FrontierSWE?

Definition and scoring fields from the benchmark registry.

FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. Performance is reported as a dominance score, where higher is better.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
FrontierSWE
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
No
Evaluation key
frontierswe|llm-stats-current

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

FAQ

Common questions about FrontierSWE.

Which model scores highest on FrontierSWE?

Claude Fable 5 is currently ranked first with 90.0%.

What does FrontierSWE measure?

FrontierSWE measures whether an agent can complete open-ended technical projects at the scale of hours to tens of hours, spanning systems optimization, large-scale code construction, and applied ML research. Performance is reported as a dominance score, where higher is better.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

15 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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