- GPT-5 medium is the best
- GPT-5.1 falls right between Gemini 2.5 Pro and GPT-5 but it’s quite a bit faster
Really wonder how well Gemini 3 will perform
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- GPT-5 medium is the best
- GPT-5.1 falls right between Gemini 2.5 Pro and GPT-5 but it’s quite a bit faster
Really wonder how well Gemini 3 will perform
I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, gemini-2.5-pro gets a lot closer (but is still wrong). For reference: gpt-5.1-thinking passes, gpt-5.1-instant fails, gpt-5-thinking fails, gpt-5-instant fails, sonnet-4.5 passes, opus-4.1 passes (lesser claude models fail). This is a reminder that benchmarks are meaningless – you…
What's the benchmark?
I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, gemini-2.5-pro gets a lot closer (but is still wrong). For reference: gpt-5.1-thinking passes, gpt-5.1-instant fails, gpt-5-thinking fails, gpt-5-instant fails, sonnet-4.5 passes, opus-4.1 passes (lesser claude models fail). This is a reminder that benchmarks are meaningless – you…
Could also just be rollout issues.
I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, gemini-2.5-pro gets a lot closer (but is still wrong). For reference: gpt-5.1-thinking passes, gpt-5.1-instant fails, gpt-5-thinking fails, gpt-5-instant fails, sonnet-4.5 passes, opus-4.1 passes (lesser claude models fail). This is a reminder that benchmarks are meaningless – you…
What's the benchmark?
When will this be available in the cli?
I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, gemini-2.5-pro gets a lot closer (but is still wrong). For reference: gpt-5.1-thinking passes, gpt-5.1-instant fails, gpt-5-thinking fails, gpt-5-instant fails, sonnet-4.5 passes, opus-4.1 passes (lesser claude models fail). This is a reminder that benchmarks are meaningless – you…
I'm sure this is a very impressive model, but gemini-3-pro-preview is failing spectacularly at my fairly basic python benchmark. In fact, gemini-2.5-pro gets a lot closer (but is still wrong). For reference: gpt-5.1-thinking passes, gpt-5.1-instant fails, gpt-5-thinking fails, gpt-5-instant fails, sonnet-4.5 passes, opus-4.1 passes (lesser claude models fail). This is a reminder that benchmarks are meaningless – you…
What's the benchmark?
And of course they hiked the API prices Standard Context(≤ 200K tokens) Input $2.00 vs $1.25 (Gemini 3 pro input is 60% more expensive vs 2.5) Output $12.00 vs $10.00 (Gemini 3 pro output is 20% more expensive vs 2.5) Long Context(> 200K tokens) Input $4.00 vs $2.50 (same +60%) Output $18.00 vs $15.00 (same +20%)
Is it the first time long context has separate pricing? I hadn’t encountered that yet