OpenAI's models -- and even Google's Argon -- have particular niches where they shine. For GPT-6/6.1, it's 3D modeling; Astra is hands-down the best at making .step files, Blender files, etc. For Argon, it's natural language writing and everything that hooks up to Google, e.g. search and maps-based itinerary planning.

Anthropic and DeepSeek (+ GLM) are definitely solving coding, though!

They're all quite different tools.

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Kurtz79 2 hours ago | parent | next [-]

Artificial Analysis recently released a dedicated 3D benchmark, where Astra lags behind both Opus and Sonnet 5.5 (and yes, open weight models seem to be quite far behind).

https://artificialanalysis.ai/articles/aa-3d

	▲	A_D_E_P_T an hour ago \| parent \| next [-]
		Interesting! For me it's large files in Blender (in some cases >400MB), mostly, where Astra excels. I gave it a look, but I don't know if the benchmark encompasses that sort of thing. .step files are simpler pieces of straightforward code, so it makes sense that Opus and Sonnet 5.5 do very well...
	▲	swiftcoder an hour ago \| parent \| prev [-]
		its unfortunate they didn't include deepseek in the initial batch of benchmarks

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2 hours ago | parent | prev [-]

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