The Inference Report

October 24, 2026

The SWE-rebench leaderboard shows no movement from the previous snapshot, with AnthropicFable 5 holding the top position at 64.5% ± 1.41%, followed by GrokGrok 4.5 at 63.8% ± 0.60% and AnthropicOpus 5 at 63.4% ± 1.35%. The Artificial Analysis benchmark, by contrast, registered a single entry change: Kimi K3.1 Pro debuted at #4 with a score of 55.1, displacing Claude Fable 5.1 from that position to #5. This shift is modest in absolute terms, with all other models maintaining their prior rankings and scores. The SWE-rebench scores carry wider confidence intervals than Artificial Analysis figures (ranging from ± 0.54% to ± 1.83% versus point estimates), reflecting the inherent variability in agentic code completion tasks where environmental factors and test case ordering matter. Kimi's entry into the top tier of Artificial Analysis suggests capability growth in a general reasoning benchmark, but without corresponding movement in the SWE-rebench rankings, the significance remains narrow: the two benchmarks appear to measure different problem classes, with SWE-rebench capturing sustained performance on multi-step repository-level tasks and Artificial Analysis tracking broader model reasoning. The stability across both leaderboards indicates that the leading models have plateaued relative to their peers, at least within the sample interval.

Cole Brennan

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 5.557.696$8.00
2Claude Sonnet 5.556136$4.00
3Muse Wonder Full55.80$0.00
4Kimi K3.1 Pro55.172$4.00
5Claude Fable 5.153.470$20.00
6GPT-6 Astra52.764$20.00
7Gemini 4 Argon52.680$4.00
8Muse Wonder52.4143$8.00
9GPT-6.1 Sol51.857$4.00
10Claude Opus 550.80$10.00

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

#Modeltok/s
1Claude Haiku 5.5241
2Step 5 Preview223
3Ling 3.1 Flash222
4DeepSeek V4.1 Flash 1017186
5Muse Wonder143
6Claude Sonnet 5.5136
7Gemini 3.8 Flash127
8GPT-5.6 Terra126
9Claude Opus 5.596
10Muse Spark 1.396

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

#Model$/1M
1Claude Haiku 5.5$0.20
2GLM-5.3-Flash$0.237
3MiniMax-M3.1-Flash$0.262
4Ling 3.1 Flash 1019$0.45
5Ling 3.1 Flash$0.45
6DeepSeek V4.1 Flash 1017$0.525
7MiMo-V2.6-Pro$0.544
8Step 5 Preview$1.43
9Gemini 3.8 Flash$1.50
10Muse Spark 1.3$2.00