Value ranking
Best value on SWE-bench Verified
As of October 25, 2026, the best value on SWE-bench Verified is GPT-5 nano, at 1468.00 normalized points per dollar of input price ($0.03 per million tokens, score 36.7).
Real GitHub issues solved end-to-end. Verified subset is a 500-task human-validated slice of SWE-bench.
“Value” is normalized benchmark score (0–100 for this leaderboard cohort) divided by input price per million tokens. Higher means more capability per dollar on this axis only — always sanity-check latency, context length, and your real workload.
- 1GPT-5 nanoOpenAI1468.0036.7 / $0.03/M
- 2Qwen3 Coder 30B A3B InstructAlibaba (Qwen)1045.7173.2 / $0.07/M
- 3GPT-5 miniOpenAI578.7272.3 / $0.13/M
- 4Gemini 2.0 FlashGoogle501.0050.1 / $0.10/M
- 5Gemini 3 FlashGoogle380.6095.2 / $0.25/M
- 6MiniMax M2.5MiniMax317.1795.2 / $0.30/M
- 7DeepSeek V3DeepSeek299.5986.9 / $0.29/M
- 8MiniMax M2MiniMax290.3974.0 / $0.26/M
- 9Qwen3 Coder 480B A35BAlibaba (Qwen)287.7086.3 / $0.30/M
- 10DeepSeek V3 (Thinking)DeepSeek250.4572.6 / $0.29/M
- 11Gemini 2.5 FlashGoogle186.9328.0 / $0.15/M
- 12gpt-oss-120bOpenAI161.0024.1 / $0.15/M
- 13Devstral 2 2512Mistral159.4763.8 / $0.40/M
- 14Kimi K2Moonshot (Kimi)155.4288.6 / $0.57/M
- 15GLM-4.6Zhipu AI (GLM)140.5384.3 / $0.60/M
- 16GLM 4.5Zhipu AI (GLM)131.0278.6 / $0.60/M
- 17GPT-5.1OpenAI129.8981.2 / $0.63/M
- 18GPT-5.2OpenAI103.8690.9 / $0.88/M
- 19Gemini 2.5 ProGoogle101.6063.5 / $0.63/M
- 20Gemini 3.1 ProGoogle97.4397.4 / $1.00/M
- 21Llama 4 MaverickMeta91.0917.1 / $0.19/M
- 22GLM 5Zhipu AI (GLM)90.8890.9 / $1.00/M
- 23Claude Haiku 4.5Anthropic82.0482.0 / $1.00/M
- 24GPT-5OpenAI74.5393.2 / $1.25/M
- 25o4-miniOpenAI71.9879.2 / $1.10/M
AI Model Analyzer does not recommend specific vendors; rankings are derived from public data only.