Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | >1T |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 128k | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $10.00 | — |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $30.00 | — |
| $3,500OpenAI list price | — | |
| These models have no shared benchmark scores. | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 42.5% | — |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Nov 6 2023 | Sep 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
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GPT-4 Turbo and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only GPT-4 Turbo has a verified first-party price for an available API: $10.00 per million input tokens and $30.00 per million output tokens. No currently available pay-as-you-go API rate is tracked for Qwen3-Max. GPT-4 Turbo shipped 688 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (GPT-4 Turbo) vs 256k (Qwen3-Max).
Direct benchmark comparisons are unavailable — GPT-4 Turbo and Qwen3-Max don't publish scores on any of the same benchmarks.