SWE-bench Verified benchmark
37 AI models ranked on SWE-bench Verified. Each row shows the model’s score next to its cheapest API price per 1M tokens where it has one, so you can weigh quality against cost.
Top model today
Macaron V1 Venti (Other) leads at 86%, from $1.50 per 1M input via Novita.
Data via SWE-bench →Models ranked
37
on this benchmark
Top score
86%
current leader
Type
Single eval
benchmark
Updated
Oct 14, 2026
benchmark scores
Cost vs SWE-bench Verified
32 priced modelsEach labelled name links to that model’s page. Curated to the cost-efficiency frontier, top scorers and cheapest so labels stay readable; the full field is in the leaderboard table below (and via “select all”). Reasoning models (extended “thinking” before answering) carry a ring around the dot.
Models ranked on SWE-bench Verified
highest score first · 37 models| # | ||||||
|---|---|---|---|---|---|---|
| 1 | Macaron V1 Venti | Other | 86% | $1.50 via Novita | $4.50 via Novita | |
| 2 | DeepSeek V4 Pro 0423 | 81% | $0.435 via Tencent | $0.87 via Tencent | ||
| 3 | MiniMax M3 | 81% | $0.23 via Wandb | $0.96 via Wandb | ||
| 4 | Kimi K2.6 | 80% | $0.65 via Wandb | $3.40 via Novita | ||
| 5 | Inkling Small | Thinking Machines | 80% | $0.45 via DeepInfra | $1.20 via Baseten | |
| 6 | DeepSeek V4 Flash 0423 | 79% | $0.09 via DeepInfra | $0.18 via DeepInfra | ||
| 7 | MiMo-V2.5-Pro | 79% | $0.435 Routed quote | $0.87 Routed quote | ||
| 8 | Hy3 | Tencent | 78% | $0.132 Routed quote | $0.528 Routed quote | |
| 9 | GLM 5 | 78% | $0.60 via DeepInfra | $1.92 Routed quote | ||
| 10 | Inkling | Thinking Machines | 78% | $0.95 via DeepInfra | $4.05 via Baseten | |
| 11 | Mistral Medium 3.5 128B | 78% | $1.50 via Scaleway | $7.50 via Scaleway | ||
| 12 | Qwen3.6 27B | 77% | $0.15 via Libertai | $0.50 via Libertai | ||
| 13 | Qwen3.5 397B A17B | 76% | $0.164 via Aihubmix | $0.986 via Aihubmix | ||
| 14 | Muse Glimmer 30B | Other | 76% | $0.30 via DeepInfra | $1.20 via DeepInfra | |
| 15 | MiniMax M2.5 | 76% | $0.27 Routed quote | $1.08 Routed quote | ||
| 16 | Macaron V1 Tall | Other | 75% | $0.45 via Novita | $2.60 via Novita | |
| 17 | Laguna M.1 | Other | 75% | $0.20 Routed quote | $0.40 Routed quote | |
| 18 | Step 3.5 Flash | Other | 74% | $0.09 Routed quote | $0.30 Routed quote | |
| 19 | MiniMax M2.1 | 74% | $0.30 via Minimax | $1.20 via Minimax | ||
| 20 | inclusionAI: Ring-2.6-1T | Other | 74% | n/a | n/a | |
| 21 | GLM 4.7 | 74% | $0.40 via DeepInfra | $1.75 via DeepInfra | ||
| 22 | Qwen3.6 35B A3B | 73% | $0.05 via Sail | $0.40 via Sail | ||
| 23 | Qwen3.5-27B | 72% | $0.26 via DeepInfra | $2.40 via Novita | ||
| 24 | inclusionAI: Ling-2.6-1T | Other | 72% | n/a | n/a | |
| 25 | Qwen3.5-122B-A10B | 72% | $0.113 via Aihubmix | $0.901 via Aihubmix | ||
| 26 | Kimi K2 Thinking | 71% | $0.60 via Moonshot | $1.20 via Gmi | ||
| 27 | Laguna XS 2.1 | Poolside | 71% | $0.06 Routed quote | $0.12 Routed quote | |
| 28 | Kimi K2.5 | 71% | $0.45 via DeepInfra | $2.25 via DeepInfra | ||
| 29 | Qwen3 Coder Next | 71% | $0.12 Routed quote | $0.548 via Aihubmix | ||
| 30 | Solar Open2 250B | Upstage | 70% | n/a | n/a | |
| 31 | MiniMax M2 | 69% | $0.255 Routed quote | $1.02 Routed quote | ||
| 32 | North Mini Code | 68% | n/a | n/a | ||
| 33 | gpt-oss-120b | 62% | $0.03 via Wandb | $0.17 via DeepInfra | ||
| 34 | inclusionAI: Ling-2.6-flash | Other | 61% | n/a | n/a | |
| 35 | gpt-oss-20b | 61% | $0.0145 via Darkbloom | $0.07 via Darkbloom | ||
| 36 | Nemotron 3 120B A12b | 60% | $0.50 via Cloudflare | $1.50 via Cloudflare | ||
| 37 | GLM 4.7 Flash | 59% | $0.06 via DeepInfra | $0.40 via Amazon Bedrock | ||
| — | Hy3 preview | Tencent | 74%Hugging Face did not report this score in its latest run on Oct 14, 2026 | $0.18 Routed quote | $0.60 Routed quote | |
| — | Nvidia Nemotron 3 Ultra 550B A55b | 72%Hugging Face did not report this score in its latest run on Oct 14, 2026 | $0.50 via DeepInfra | $2.15 via Wandb |
Frequently asked questions
What is the SWE-bench Verified benchmark?
SWE-bench Verified is a 500-task subset of SWE-bench, human-validated by OpenAI to remove unsolvable or under-specified problems. Each task is a real GitHub issue from a popular Python repository, and the model must produce a patch that makes the project's hidden test suite pass. Scored as the percentage of issues resolved.
Which AI model scores highest on SWE-bench Verified?
Macaron V1 Venti (Other) leads with 86%, from $1.50 per 1M input tokens from Novita.
How many models are ranked on SWE-bench Verified?
37 models carry a SWE-bench Verified score. Scores come from Hugging Face leaderboards; where a model has a listed API price it is drawn from LiteLLM and OpenRouter, and models with no current price are listed without one.
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