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DeepSWE

Progress Over Time

Interactive timeline showing model performance evolution on DeepSWE

State-of-the-art frontier
Open
Proprietary

DeepSWE Leaderboard

13 models
ContextCostLicense
1—1.1M$5.00 / $30.00
2—1.1M$2.00 / $12.00
3
Moonshot AI
Moonshot AI
2.8T1.0M$2.85 / $14.25
4—1.1M$0.20 / $1.20
5770B——
61.6T1.0M$1.30 / $2.60
7—1.0M$0.44 / $1.32
8304B1.0M$0.06 / $0.18
9—500K$2.00 / $6.00
10
Zhipu AI
Zhipu AI
753B1.0M$0.75 / $2.40
11
ByteDance
ByteDance
———
12
Tencent
Tencent
295B262K$0.14 / $0.58
13———
Notice missing or incorrect data?

Sub-benchmarks

About this benchmark

What is DeepSWE?

DeepSWE is a software engineering agent benchmark evaluated with the mini-swe-agent harness, where each task is solved in an isolated container with no internet access. It measures an agent's ability to autonomously resolve real-world coding issues end to end.

DeepSWE is a text benchmark evaluating models on agents and code tasks. LLM Stats tracks 13 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.7.

Compare leaders on the best AI for agents and best AI for code leaderboards.

Current leaders

GPT-5.6 Sol from OpenAI currently leads the DeepSWE leaderboard with a score of 0.727 across 13 evaluated AI models.

1GPT-5.6 SolOpenAI72.7%
2GPT-5.6 TerraOpenAI69.6%
3Kimi K3Moonshot AI67.5%
OSSHy4 preview#5 open-weight64.3%

FAQ

Common questions about the DeepSWE benchmark and leaderboard.

What is the DeepSWE benchmark?

DeepSWE is a software engineering agent benchmark evaluated with the mini-swe-agent harness, where each task is solved in an isolated container with no internet access. It measures an agent's ability to autonomously resolve real-world coding issues end to end.

What is the DeepSWE leaderboard?

The DeepSWE leaderboard ranks 13 AI models based on their performance on this benchmark. Currently, GPT-5.6 Sol by OpenAI leads with a score of 0.727. The average score across all models is 0.539.

What is the highest DeepSWE score?

The highest DeepSWE score is 0.727, achieved by GPT-5.6 Sol from OpenAI.

How many models are evaluated on DeepSWE?

13 models have been evaluated on the DeepSWE benchmark, with 0 verified results and 13 self-reported results.

What categories does DeepSWE cover?

DeepSWE is categorized under agents and code. The benchmark evaluates text models.

Are there variants of DeepSWE?

Yes. DeepSWE has 2 related variants: DeepSWE 1.0, DeepSWE 1.1.

What is the best open-source model on DeepSWE?

Hy4 preview by Tencent is the top-ranked open-source model on DeepSWE, with a score of 0.643 (rank #5).

Which model offers the best value on DeepSWE?

Among models scoring within 10% of the leader, GPT-5.6 Luna from OpenAI is the cheapest, at $0.20 per million input tokens with a score of 0.672.

How recent are the DeepSWE leaderboard results?

The DeepSWE leaderboard was last updated in October 2026 and currently includes 13 evaluated models.