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. | $1.10 | — |
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. | $4.40 | — |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.55 | — |
| $440OpenAI 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. | 60% | — |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Sep 12 2024 | Sep 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
o1-minivsClaude Haiku 5.5Qwen3-MaxvsClaude Haiku 5.5o1-minivsGemini 4 CarbonQwen3-MaxvsGemini 4 Carbono1-minivsMuse Spark OpenQwen3-MaxvsMuse Spark Openo1-minivsGrok 4.7Qwen3-MaxvsGrok 4.7o1-minivsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsDeepSeek-V4.1-Flash-1017o1-minivsMistral Large 4Qwen3-MaxvsMistral Large 4Frequently asked questions
o1-mini and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only o1-mini has a verified first-party price for an available API: $1.10 per million input tokens and $4.40 per million output tokens. No currently available pay-as-you-go API rate is tracked for Qwen3-Max. o1-mini shipped 377 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (o1-mini) vs 256k (Qwen3-Max).
Direct benchmark comparisons are unavailable — o1-mini and Qwen3-Max don't publish scores on any of the same benchmarks.