Strange that the page https://artificialanalysis.ai/agents/coding-agents doesn't even mention "Qwen" once if it's now the "best" according to one of their one index?
Strange that the page https://artificialanalysis.ai/agents/coding-agents doesn't even mention "Qwen" once if it's now the "best" according to one of their one index?
They didn't run all benchmarks. It's the best in AA agentic index (GDPval-AA v2, ³-Banking) but not coding index (DeepSWE which is missing, Terminal-Bench v2.1 they have 81% vs 90% for Sol, SWE-Atlas-QnA missing).
Does "artificial analysis" mean what it says? Dubious.
But: I've been very impressed by the larger Qwen Models, and a brief try of Kimi also impressed me.
A lingering sense of quality degradation when going deep remains.
But that's not an accusation: they seem to be hitting the compute/quality tradeoff extremely well.
And on-prem capability is simply irreplaceable.
Apart from all the innovations that were driven by the strive for this optimization: quantization, "distilling" (without obvious mad-cows-disease)... I think China was an invaluable player in this progress. Intuitively, I'd even go so far to speculate that LLaMa wouldn't exist without the competition.
According to those graphs, Grok 4.5 appears to be the most cost-effective model.
$0.05 per task, Intelligence Index score 52 -> GPT 5.6 Luna max
$0.36 per task, Intelligence Index score 56 -> Grok 4.5 high
$1.13 per task, Intelligence Index score 58 -> Qwen 3.8 Max
$0.81 per task, Intelligence Index score 59 -> GPT 5.6 Sol xhigh
$1.80 per task, Intelligence Index score 63 -> Opus 5 xhigh
Different benchmarks:
> Artificial Analysis Agentic Index: Represents the weighted average of agentic capabilities benchmarks in the Artificial Analysis Intelligence Index (GDPval-AA v2, Tau³-Banking)
> Artificial Analysis Coding Agent Index v1.3 incorporates 3 benchmarks: DeepSWE, Terminal-Bench v2, and SWE-Atlas-QnA
Qwen3.8 Max is 55.4 on the Agentic Index but hasn't been tested for the Coding Agent Index.
Looks like coding agent is model+harness. There are far fewer models represented on that page. I believe "agentic index" is still the metric to look at for coding performance. I could be wrong about that though.
Indeed, and this Qwen 3.8 max specific page:
https://artificialanalysis.ai/models/qwen3-8-max
Doesn't have the claim either. Clickbait?
This page has it, scroll to "Intelligence" header (not the highlights one, but second on the page / with black square) and click "Agentic Index"
So the original link should be: https://artificialanalysis.ai/models/qwen3-8-max?intelligenc...
Even then, this seems a much more marginal win than the headline suggested to me.