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. | 200k | 256k |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | May 16 2025 | Sep 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
codex-mini-latestvsClaude Fable 5.2Qwen3-MaxvsClaude Fable 5.2codex-mini-latestvsGemini 4 CarbonQwen3-MaxvsGemini 4 Carboncodex-mini-latestvsMuse EmberQwen3-MaxvsMuse Embercodex-mini-latestvsGrok 4.7Qwen3-MaxvsGrok 4.7codex-mini-latestvsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsDeepSeek-V4.1-Flash-1017codex-mini-latestvsMistral Large 4Qwen3-MaxvsMistral Large 4Frequently asked questions
codex-mini-latest and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. codex-mini-latest shipped 131 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (codex-mini-latest) vs 256k (Qwen3-Max).
Direct benchmark comparisons are unavailable — codex-mini-latest and Qwen3-Max don't publish scores on any of the same benchmarks.