The Inference Report

September 28, 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
1AnthropicFable 5 [high]Model64.5%± 1.41%
2GrokGrok 4.5 [high]Model63.8%± 0.60%
3AnthropicOpus 5 [high]Model63.4%± 1.35%
4Z.aiGLM-5.2 [high]Model62.9%± 1.19%
5OpenAIGPT-5.6 Sol [medium]Model62.3%± 1.83%
6JunieJunieAgent61.8%± 0.54%
7AnthropicClaude CodeAgent60.4%± 1.03%
8OpenAICodexAgent58.0%± 1.29%
9AnthropicSonnet 5 [high]Model56.8%± 0.94%
10CursorCursorAgent51.7%± 0.84%

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

#ModelScoretok/s$/1M
1Claude Opus 5.557.695$8.00
2Claude Fable 5.153.467$20.00
3GPT-6 Astra52.763$20.00
4Claude Opus 550.80$10.00
5Claude Fable 549.60$20.00
6Muse Spark 1.348.1160$2.00
7GPT-6 Sol47.585$4.00
8GPT-5.6 Sol470$8.00
9Grok 4.746.472$3.00
10MiMo-V2.6-Pro46.341$0.544

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

#Modeltok/s
1Gemini 3.8 Flash291
2Muse Spark 1.3160
3GPT-5.6 Terra107
4Claude Opus 5.595
5GPT-6 Sol85
6GLM-5.382
7Grok 4.681
8Step 5 Preview81
9Grok 4.772
10Claude Fable 5.167

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

#Model$/1M
1GLM 5.3 Flash$0.237
2MiMo-V2.6-Pro$0.544
3Step 5 Preview$1.43
4Gemini 3.8 Flash$1.50
5Muse Spark 1.3$2.00
6GLM-5.3$2.15
7Grok 4.7$3.00
8Qwen3.8 Max$3.00
9Grok 4.6$3.00
10GPT-6 Sol$4.00