The Inference Report

May 15, 2026

Daily rankings from SWE-rebench, a benchmark designed to fairly compare LLM capabilities on real-world software engineering tasks. Unlike other evaluations, it uses a standardized scaffolding for all models, continuously updates its dataset to prevent contamination, and runs each model five times to account for stochastic variance.

#ModelScore
1Claude Opus 4.665.3%
2gpt-5.2-2025-12-11-medium64.4%
3GLM-562.8%
4Junie62.8%
5gpt-5.4-2026-03-05-medium62.8%
6GLM-5.162.7%
7Gemini 3.1 Pro Preview62.3%
8DeepSeek-V3.260.9%
9Claude Sonnet 4.660.7%
10Claude Sonnet 4.560.0%

Artificial Analysis composite index across coding, math, and reasoning benchmarks.

#ModelScoretok/s$/1M
1GPT-5.560.266$11.25
2Claude Opus 4.757.362$10.94
3Gemini 3.1 Pro Preview57.2126$4.50
4GPT-5.456.883$5.63
5Kimi K2.653.943$1.71
6MiMo-V2.5-Pro53.854$1.50
7GPT-5.3 Codex53.677$4.81
8Grok 4.353.285$1.56
9Claude Opus 4.652.950$10.94
10Muse Spark52.20$0.00

Output tokens per second — higher is faster. Minimum intelligence score of 40.

#Modeltok/s
1Gemini 3 Flash Preview202
2GPT-5 Codex192
3Qwen3.6 35B A3B188
4GPT-5.1 Codex175
5GPT-5.4 mini164
6GPT-5.4 nano149
7Qwen3.5 122B A10B149
8MiMo-V2-Flash146
9Gemini 3 Pro Preview133
10Gemini 3.1 Pro Preview126

Blended cost per 1M tokens (3:1 input/output) — lower is cheaper. Minimum intelligence score of 40.

#Model$/1M
1MiMo-V2-Flash$0.15
2DeepSeek V4 Flash$0.175
3Hy3-preview$0.20
4DeepSeek V3.2$0.337
5GPT-5.4 nano$0.463
6MiniMax-M2.7$0.525
7KAT Coder Pro V2$0.525
8MiniMax-M2.5$0.525
9Qwen3.6 35B A3B$0.557
10GPT-5 mini$0.688