I have a script that ranks these based on codingindex from Artificial Analysis.
All it does is pull a json from their main table page and parses it with the fields I care about (coding).
There used to be a mailing list associated with it but eh ... there wasn't much interest. I use the script every day though.
Current partial output
score age size name
47.1 58 large Kimi K2.6
47.5 54 large DeepSeek V4 Pro (Reasoning, Max Effort)
47.5 70 - Muse Spark
47.6 132 - Claude Opus 4.6 (Non-reasoning, High Effort)
47.8 205 - Claude Opus 4.5 (Reasoning)
48.1 132 - Claude Opus 4.6 (Adaptive Reasoning, Max Effort)
48.6 55 - GPT-5.5 (Non-reasoning)
48.7 188 - GPT-5.2 (xhigh)
50.1 29 - Qwen3.7 Max
50.7 1 large GLM-5.2 (max)
50.9 120 - Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)
51.5 92 - GPT-5.4 mini (xhigh)
52.1 55 - GPT-5.5 (low)
52.5 62 - Claude Opus 4.7 (Adaptive Reasoning, Max Effort)
53.1 132 - GPT-5.3 Codex (xhigh)
53.1 62 - Claude Opus 4.7 (Non-reasoning, High Effort)
55.5 118 - Gemini 3.1 Pro Preview
56.2 55 - GPT-5.5 (medium)
56.7 20 - Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
57.2 104 - GPT-5.4 (xhigh)
58.5 55 - GPT-5.5 (high)
59.1 55 - GPT-5.5 (xhigh)
62 8 - Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)
To see everything, run it like so
$ curl day50.dev/art-analysis.sh | bash
The repo:
https://github.com/day50-dev/aa-eval-emailsome key takeaways:
* open models are on about a 4-7 month lag right now depending on how you want to measure it
* if this keeps up, you might see an open-weights model doing claude fable 5 level work before the new year.
if people sign up for the free mailing list (that just does this) I'll go and put it back on ... emails when new model evals drop - it was pretty useful.
All it does is pull a json from their main table page and parses it with the fields I care about (coding).
There used to be a mailing list associated with it but eh ... there wasn't much interest. I use the script every day though.
Current partial output
To see everything, run it like so The repo: https://github.com/day50-dev/aa-eval-emailsome key takeaways:
* open models are on about a 4-7 month lag right now depending on how you want to measure it
* if this keeps up, you might see an open-weights model doing claude fable 5 level work before the new year.
if people sign up for the free mailing list (that just does this) I'll go and put it back on ... emails when new model evals drop - it was pretty useful.