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.
| # | Model | Score |
|---|---|---|
| 1 | AnthropicFable 5 [high]Model | 64.5%± 1.41% |
| 2 | GrokGrok 4.5 [high]Model | 63.8%± 0.60% |
| 3 | AnthropicOpus 5 [high]Model | 63.4%± 1.35% |
| 4 | Z.aiGLM-5.2 [high]Model | 62.9%± 1.19% |
| 5 | OpenAIGPT-5.6 Sol [medium]Model | 62.3%± 1.83% |
| 6 | JunieJunieAgent | 61.8%± 0.54% |
| 7 | AnthropicClaude CodeAgent | 60.4%± 1.03% |
| 8 | OpenAICodexAgent | 58.0%± 1.29% |
| 9 | AnthropicSonnet 5 [high]Model | 56.8%± 0.94% |
| 10 | CursorCursorAgent | 51.7%± 0.84% |
Artificial Analysis composite index across coding, math, and reasoning benchmarks.
| # | Model | Score | tok/s | $/1M |
|---|---|---|---|---|
| 1 | Gemini 4 Carbon | 59.4 | 91 | $8.00 |
| 2 | Claude Opus 5.5 | 58.4 | 96 | $8.00 |
| 3 | GPT-6 Astra | 56.9 | 59 | $20.00 |
| 4 | GPT-6.1 Sol | 54.5 | 68 | $4.00 |
| 5 | Claude Sonnet 5.5 | 54.2 | 133 | $4.00 |
| 6 | GPT-6.1 Terra | 51 | 117 | $2.00 |
| 7 | Gemini 4 Argon | 50.4 | 82 | $8.00 |
| 8 | Muse Wonder Full | 49.7 | 0 | $0.00 |
| 9 | Claude Fable 5.1 | 49.7 | 54 | $20.00 |
| 10 | Kimi K3.1 Pro | 46 | 28 | $4.00 |
Output tokens per second — higher is faster. Minimum intelligence score of 40.
| # | Model | tok/s |
|---|---|---|
| 1 | Muse Wonder | 139 |
| 2 | Claude Sonnet 5.5 | 133 |
| 3 | GPT-6.1 Terra | 117 |
| 4 | Claude Opus 5.5 | 96 |
| 5 | Gemini 4 Carbon | 91 |
| 6 | Gemini 4 Argon | 82 |
| 7 | GPT-6.1 Sol | 68 |
| 8 | GPT-6 Astra | 59 |
| 9 | Claude Fable 5.1 | 54 |
| 10 | Kimi K3.1 Pro | 28 |
Blended cost per 1M tokens (3:1 input/output) — lower is cheaper. Minimum intelligence score of 40.
| # | Model | $/1M |
|---|---|---|
| 1 | GPT-6.1 Terra | $2.00 |
| 2 | GPT-6.1 Sol | $4.00 |
| 3 | Claude Sonnet 5.5 | $4.00 |
| 4 | Kimi K3.1 Pro | $4.00 |
| 5 | Gemini 4 Carbon | $8.00 |
| 6 | Claude Opus 5.5 | $8.00 |
| 7 | Gemini 4 Argon | $8.00 |
| 8 | Muse Wonder | $8.00 |
| 9 | GPT-6 Astra | $20.00 |
| 10 | Claude Fable 5.1 | $20.00 |