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. | 400k | 32k |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 39% | — |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Sep 15 2025 | Jan 28 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
GPT-5-CodexvsClaude Haiku 5.5Qwen2.5-MaxvsClaude Haiku 5.5GPT-5-CodexvsGemini 4 ArgonQwen2.5-MaxvsGemini 4 ArgonGPT-5-CodexvsMuse Spark OpenQwen2.5-MaxvsMuse Spark OpenGPT-5-CodexvsGrok 4.7Qwen2.5-MaxvsGrok 4.7GPT-5-CodexvsDeepSeek-V4.1-Flash-1017Qwen2.5-MaxvsDeepSeek-V4.1-Flash-1017GPT-5-CodexvsMistral Large 4Qwen2.5-MaxvsMistral Large 4Frequently asked questions
GPT-5-Codex 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 230 days before GPT-5-Codex, so benchmark comparisons should account for the intervening progress.
Context windows are 400k (GPT-5-Codex) vs 32k (Qwen2.5-Max).
Direct benchmark comparisons are unavailable — GPT-5-Codex and Qwen2.5-Max don't publish scores on any of the same benchmarks.