reasoning benchmark
SWE-Lancer (IC-Diamond subset) Leaderboard
SWE-Lancer (IC-Diamond subset) is a benchmark of real-world freelance software engineering tasks from Upwork, ranging from $50 bug fixes to $32,000 feature implementations. It evaluates AI models on independent engineering tasks using end-to-end tests triple-verified by experienced software engineers, and includes managerial tasks where models choose between technical implementation proposals.
Updated Aug 17, 2026
Models6
Model coverage6
MetricScore
EvidenceB
SWE-Lancer (IC-Diamond subset) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score100.0% | Percentile100.0% | Participants6 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score81.4% | Percentile80.0% | Participants6 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score74.6% | Percentile60.0% | Participants6 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score17.4% | Percentile40.0% | Participants6 | EvidenceC | Evaluated |
| Rank05 | ModelOP | Score12.4% | Percentile20.0% | Participants6 | EvidenceC | Evaluated |
| Rank06 | ModelOP | Score7.4% | Percentile0.0% | Participants6 | EvidenceC | Evaluated |
SWE-Lancer (IC-Diamond subset) Highlights
The leading models and scores on this benchmark.
SWE-Lancer (IC-Diamond subset) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for SWE-Lancer (IC-Diamond subset)
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 (ic-diamond subset) 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.
- 01OPGPT-5OpenAI
- Score
- 100.0%
- Price
- $1.3 input / $10 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #1 of 6 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-Lancer (IC-Diamond subset), not total model capability
- 02OPGPT-5.3 CodexOpenAI
- Score
- 81.4%
- Price
- $1.8 input / $14 output per 1M tokens
- Speed
- Up to 2.4 tok/s via OpenAI
Strengths
- Ranks #2 of 6 compared models
- 80th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-Lancer (IC-Diamond subset), not total model capability
- 03OPGPT-5.2OpenAI
- Score
- 74.6%
- Price
- $1.8 input / $14 output per 1M tokens
- Speed
- Up to 100 tok/s via OpenAI
Strengths
- Ranks #3 of 6 compared models
- 60th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-Lancer (IC-Diamond subset), not total model capability
- 04OPGPT-4.5OpenAI
- Score
- 17.4%
- Speed
- Up to 50 tok/s via OpenAI
Strengths
- Ranks #4 of 6 compared models
- 40th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-Lancer (IC-Diamond subset), not total model capability
- 05OPGPT-4oOpenAI
- Score
- 12.4%
- Price
- $2.5 input / $10 output per 1M tokens
- Speed
- Up to 132 tok/s via OpenAI
Strengths
- Ranks #5 of 6 compared models
- 20th percentile on this benchmark
- C evidence result
Considerations
- This result measures SWE-Lancer (IC-Diamond subset), not total model capability
Selection summary
Best AI Models for SWE-Lancer (IC-Diamond subset)
GPT-5 currently leads SWE-Lancer (IC-Diamond subset) with 100.0%. 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.
What is SWE-Lancer (IC-Diamond subset)?
What SWE-Lancer (IC-Diamond subset) measures and how its scores work.
SWE-Lancer (IC-Diamond subset) is a benchmark of real-world freelance software engineering tasks from Upwork, ranging from $50 bug fixes to $32,000 feature implementations. It evaluates AI models on independent engineering tasks using end-to-end tests triple-verified by experienced software engineers, and includes managerial tasks where models choose between technical implementation proposals.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- SWE-Lancer (IC-Diamond subset)
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- swe-lancer-(ic-diamond-subset)|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SWE-Lancer (IC-Diamond subset).
Which model scores highest on SWE-Lancer (IC-Diamond subset)?
GPT-5 is currently ranked first with 100.0%.
What does SWE-Lancer (IC-Diamond subset) measure?
SWE-Lancer (IC-Diamond subset) is a benchmark of real-world freelance software engineering tasks from Upwork, ranging from $50 bug fixes to $32,000 feature implementations. It evaluates AI models on independent engineering tasks using end-to-end tests triple-verified by experienced software engineers, and includes managerial tasks where models choose between technical implementation proposals.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
6 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.