Compare AI models
| Specifications | ||
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 | 32k |
| These models have no shared benchmark scores. | ||
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 38.7% |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | May 16 2025 | Jan 28 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
codex-mini-latestvsClaude Fable 5.2Qwen2.5-MaxvsClaude Fable 5.2codex-mini-latestvsGemini 4 CarbonQwen2.5-MaxvsGemini 4 Carboncodex-mini-latestvsMuse EmberQwen2.5-MaxvsMuse Embercodex-mini-latestvsGrok 4.7Qwen2.5-MaxvsGrok 4.7codex-mini-latestvsDeepSeek-V4.1-Flash-1017Qwen2.5-MaxvsDeepSeek-V4.1-Flash-1017codex-mini-latestvsMistral Large 4Qwen2.5-MaxvsMistral Large 4Frequently asked questions
codex-mini-latest and Qwen2.5-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen2.5-Max shipped 108 days before codex-mini-latest, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (codex-mini-latest) vs 32k (Qwen2.5-Max).
Direct benchmark comparisons are unavailable — codex-mini-latest and Qwen2.5-Max don't publish scores on any of the same benchmarks.