The Inference Report

November 3, 2026

The SWE-rebench rankings remain static across the top tier, with AnthropicFable 5 holding 64.5% and the next four positions unchanged through OpenAIGPT-5.6 Sol at 62.3%, all within their stated confidence intervals. On Artificial Analysis, movement clusters at the margins: Grok 4.7 gained 0.3 points to 35.3, two models entered the tracked list (Nanbeige4.3-33B at #30 with 20.4, Granite 4.2 8B at #44 with 5.1), and the remaining shifts reflect reordering rather than score changes. The top five on Artificial Analysis remain Gemini 4 Carbon, Claude Opus 5.5, GPT-6 Astra, GPT-6.1 Sol, and Claude Sonnet 5.5, separated by narrow margins between 59.4 and 54.2. Between the two benchmarks, the rankings diverge substantially: models ranked high on SWE-rebench (Fable 5, Grok 4.5, Opus 5) do not appear in the Artificial Analysis top ten, suggesting the benchmarks measure distinct capabilities or that SWE-rebench's agent-based evaluation structure produces different orderings than Artificial Analysis's methodology. Without clarity on Artificial Analysis's evaluation protocol, the divergence prevents direct comparison. The stability on SWE-rebench and minor churn on Artificial Analysis indicate neither benchmark has experienced methodological revision or discovered a new capability frontier in this cycle.

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
1Gemini 4 Carbon59.491$8.00
2Claude Opus 5.558.496$8.00
3GPT-6 Astra56.959$20.00
4GPT-6.1 Sol54.568$4.00
5Claude Sonnet 5.554.2133$4.00
6GPT-6.1 Terra51117$2.00
7Gemini 4 Argon50.482$8.00
8Muse Wonder Full49.70$0.00
9Claude Fable 5.149.754$20.00
10Kimi K3.1 Pro4628$4.00

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

#Modeltok/s
1Muse Wonder139
2Claude Sonnet 5.5133
3GPT-6.1 Terra117
4Claude Opus 5.596
5Gemini 4 Carbon91
6Gemini 4 Argon82
7GPT-6.1 Sol68
8GPT-6 Astra59
9Claude Fable 5.154
10Kimi K3.1 Pro28

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

#Model$/1M
1GPT-6.1 Terra$2.00
2GPT-6.1 Sol$4.00
3Claude Sonnet 5.5$4.00
4Kimi K3.1 Pro$4.00
5Gemini 4 Carbon$8.00
6Claude Opus 5.5$8.00
7Gemini 4 Argon$8.00
8Muse Wonder$8.00
9GPT-6 Astra$20.00
10Claude Fable 5.1$20.00