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reasoning benchmark

SWE-Lancer Leaderboard

A benchmark for evaluating large language models on real-world freelance software engineering tasks from Upwork. Contains over 1,400 tasks valued at $1 million USD total, ranging from $50 bug fixes to $32,000 feature implementations. Includes both independent engineering tasks graded via end-to-end tests and managerial tasks assessed against original engineering managers' choices.

Updated Aug 17, 2026

Models4
Model coverage4
MetricScore
EvidenceB

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SWE-Lancer Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-5.1 CodexOpenAIScore66.3%Percentile100.0%Participants4EvidenceCEvaluatedAug 17, 2026
Rank02ModelOPGPT-4.5OpenAIScore37.3%Percentile66.7%Participants4EvidenceCEvaluatedAug 17, 2026
Rank03ModelOPGPT-4oOpenAIScore32.6%Percentile33.3%Participants4EvidenceCEvaluatedAug 17, 2026
Rank04ModelOPo3-miniOpenAIScore18.0%Percentile0.0%Participants4EvidenceCEvaluatedAug 17, 2026

SWE-Lancer Highlights

The leading models and scores on this benchmark.

Rank #1GPT-5.1 Codex66.3%Rank #2GPT-4.537.3%Rank #3GPT-4o32.6%Rank #4o3-mini18.0%

SWE-Lancer Score Distribution

A closer view of the leading scores on this benchmark.

SWE-Lancer

The Top AI Models for SWE-Lancer

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis swe-lancer AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    OP
    GPT-5.1 CodexOpenAI
    Score
    66.3%
    Speed
    Up to 50 tok/s via OpenAI

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SWE-Lancer, not total model capability
  2. 02
    OP
    GPT-4.5OpenAI
    Score
    37.3%
    Speed
    Up to 50 tok/s via OpenAI

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SWE-Lancer, not total model capability
  3. 03
    OP
    GPT-4oOpenAI
    Score
    32.6%
    Price
    $2.5 input / $10 output per 1M tokens
    Speed
    Up to 132 tok/s via OpenAI

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SWE-Lancer, not total model capability
  4. 04
    OP
    o3-miniOpenAI
    Score
    18.0%
    Price
    $1.1 input / $4.4 output per 1M tokens
    Speed
    Up to 115 tok/s via Azure

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SWE-Lancer, not total model capability

Selection summary

Best AI Models for SWE-Lancer

GPT-5.1 Codex currently leads SWE-Lancer with 66.3%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1GPT-5.1 Codex66.3% · Up to 50 tok/s via OpenAIBenchmark rank #2GPT-4.537.3% · Up to 50 tok/s via OpenAIBenchmark rank #3GPT-4o32.6% · $2.5 input / $10 output per 1M tokens

What is SWE-Lancer?

What SWE-Lancer measures and how its scores work.

A benchmark for evaluating large language models on real-world freelance software engineering tasks from Upwork. Contains over 1,400 tasks valued at $1 million USD total, ranging from $50 bug fixes to $32,000 feature implementations. Includes both independent engineering tasks graded via end-to-end tests and managerial tasks assessed against original engineering managers' choices.

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

Family
SWE-Lancer
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
swe-lancer|llm-stats-current

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

FAQ

Common questions about SWE-Lancer.

Which model scores highest on SWE-Lancer?

GPT-5.1 Codex is currently ranked first with 66.3%.

What does SWE-Lancer measure?

A benchmark for evaluating large language models on real-world freelance software engineering tasks from Upwork. Contains over 1,400 tasks valued at $1 million USD total, ranging from $50 bug fixes to $32,000 feature implementations. Includes both independent engineering tasks graded via end-to-end tests and managerial tasks assessed against original engineering managers' choices.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

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