We have Gemini DeepThink, GPT-5-Pro, Grok Heavy… Where is Chonky Claude?
@petergostev
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OpenAI Reasoners vs Non-Reasoners: Performance Comparison Analysis
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How do OpenAI reasoners compare to non-reasoners? Looking at the @lmarena_ai rankings, we can compare models’ overall ratings with their category ratings, and clear patterns emerge. Reasoners (o3, o4-mini, GPT-5-Thinking) are much better at Maths and Hard Problems, while
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GPT-5 Pricing and Performance Compared to Mini and Chat Models
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That's very interesting – I thought 'mini' might rank a bit higher than this. 'Chat' being below GPT-4o is also kind of interesting, considering it is similarly priced (GPT-5 input is cheaper, but output same)
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More Compute Power: The AI Industry’s Endless Appetite
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I like my compute like I like my butter – more
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GPT-5 GB200 FP4 Precision and Token Speed Analysis
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So GPT-5 is running on GB200, to take full advantage of it, it could be in FP4. So I wonder if this change is hiding the size of the model somewhat. If it was FP8 and on H100, it would be now running at something like 10 tokens per second rather than current 50 tps.
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Simplify reasoning effort adjustment in AI interfaces
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Could we make it cleaner to change the reasoning effort? I always forget how to do it and hard to find
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OpenAI’s GPT-5-Pro: Cost Optimization Over Capability Push
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Given that we saw OpenAI test better checkpoints on the arena, it does also seem like they have also optimised for cost / mass appeal rather than pushed the capabilities as far as they could. We also don't have almost any benchmarks for GPT-5-Pro, which is genuinely superb and
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O3 API Speed Performance Getting Closer to Target
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yeah you are right, I'm getting closer speeds in API too – not 221 for o3
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AI-Generated Images Look Plastic and Artificial
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I tried it too, images look very AI and plastic unfortunately, hope that's not Google