The Inference Report

September 21, 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 Fable 5.153.472$20.00
2GPT-6 Astra52.769$20.00
3Claude Opus 550.854$10.00
4Claude Fable 549.60$20.00
5Muse Spark 1.348.1279$2.00
6GPT-5.6 Sol4772$8.00
7Qwen3.8 Max45.441$3.00
8GLM-5.344.871$2.15
9Grok 4.644.363$3.00
10Step 5 Preview43.793$1.43

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

#Modeltok/s
1Gemini 3.8 Flash342
2Muse Spark 1.3279
3GPT-5.6 Terra106
4Step 5 Preview93
5GLM 5.3 Flash92
6Claude Fable 5.172
7GPT-5.6 Sol72
8GLM-5.371
9GPT-6 Astra69
10Grok 4.663

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
2Step 5 Preview$1.43
3Gemini 3.8 Flash$1.50
4Muse Spark 1.3$2.00
5GLM-5.3$2.15
6Qwen3.8 Max$3.00
7Grok 4.6$3.00
8GPT-5.6 Terra$4.50
9Kimi K3$6.00
10GPT-5.6 Sol$8.00