The Inference Report

March 14, 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
1Gemini 3.1 Pro Preview57.2117$4.50
2GPT-5.45784$5.63
3GPT-5.3 Codex5464$4.81
4Claude Opus 4.65355$10.00
5Claude Sonnet 4.651.760$6.00
6GPT-5.251.361$4.81
7GLM-549.862$1.55
8Claude Opus 4.549.758$10.00
9GPT-5.2 Codex4978$4.81
10Grok 4.20 Beta 030948.5263$3.00

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

#Modeltok/s
1Grok 4.20 Beta 0309263
2GPT-5 Codex171
3Gemini 3 Flash Preview164
4Qwen3.5 122B A10B145
5MiMo-V2-Flash129
6Gemini 3 Pro Preview119
7Gemini 3.1 Pro Preview117
8GPT-5.1 Codex99
9Qwen3.5 27B89
10GPT-5.484

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
3MiniMax-M2.5$0.525
4GPT-5 mini$0.688
5Qwen3.5 27B$0.825
6GLM-4.7$1.00
7Kimi K2 Thinking$1.07
8Qwen3.5 122B A10B$1.10
9Gemini 3 Flash Preview$1.13
10Kimi K2.5$1.20