The Inference Report

October 5, 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 5.557.697$8.00
2Claude Sonnet 5.556138$4.00
3Claude Fable 5.153.469$20.00
4GPT-6 Astra52.765$20.00
5Gemini 4 Argon52.60$4.00
6GPT-6.1 Sol51.860$4.00
7Claude Opus 550.80$10.00
8Claude Fable 549.60$20.00
9Muse Spark 1.348.1168$2.00
10GPT-6 Sol47.60$4.00

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

#Modeltok/s
1Gemini 3.8 Flash238
2Ling 3.1 Flash216
3Muse Spark 1.3168
4Claude Sonnet 5.5138
5GPT-5.6 Terra120
6Claude Opus 5.597
7Step 5 Preview89
8GLM-5.376
9Grok 4.775
10Claude Fable 5.169

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
2Ling 3.1 Flash$0.45
3MiMo-V2.6-Pro$0.544
4Step 5 Preview$1.43
5Gemini 3.8 Flash$1.50
6Muse Spark 1.3$2.00
7GLM-5.3$2.15
8Grok 4.7$3.00
9Qwen3.8 Max$3.00
10Grok 4.6$3.00