The Inference Report

March 23, 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 Code52.9%
2Junie52.1%
3Claude Opus 4.651.7%
4gpt-5.2-2025-12-11-xhigh51.7%
5gpt-5.2-2025-12-11-medium51.0%
6gpt-5.1-codex-max48.5%
7Claude Sonnet 4.547.1%
8Gemini 3 Pro Preview46.7%
9Gemini 3 Flash Preview46.7%
10gpt-5.2-codex45.0%

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

#ModelScoretok/s$/1M
1GPT-5.457.284$5.63
2Gemini 3.1 Pro Preview57.2123$4.50
3GPT-5.3 Codex5468$4.81
4Claude Opus 4.65350$10.00
5Claude Sonnet 4.651.765$6.00
6GPT-5.251.375$4.81
7GLM-549.889$1.55
8Claude Opus 4.549.758$10.00
9MiniMax-M2.749.644$0.525
10MiMo-V2-Pro49.20$0.00

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

#Modeltok/s
1GPT-5.4 mini233
2GPT-5.4 nano216
3Gemini 3 Flash Preview186
4GPT-5 Codex172
5Qwen3.5 122B A10B158
6MiMo-V2-Flash142
7GPT-5.1 Codex130
8GPT-5.1126
9Gemini 3.1 Pro Preview123
10Gemini 3 Pro Preview120

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 V3.2$0.315
3GPT-5.4 nano$0.463
4MiniMax-M2.7$0.525
5MiniMax-M2.5$0.525
6GPT-5 mini$0.688
7Qwen3.5 27B$0.825
8GLM-4.7$1.00
9Kimi K2 Thinking$1.07
10Qwen3.5 122B A10B$1.10