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. | 400k | 256k |
| 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. | 32% | — |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Nov 13 2025 | Sep 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
GPT-5.1-CodexvsClaude Fable 5.2Qwen3-MaxvsClaude Fable 5.2GPT-5.1-CodexvsGemini 4 CarbonQwen3-MaxvsGemini 4 CarbonGPT-5.1-CodexvsMuse EmberQwen3-MaxvsMuse EmberGPT-5.1-CodexvsGrok 4.7Qwen3-MaxvsGrok 4.7GPT-5.1-CodexvsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsDeepSeek-V4.1-Flash-1017GPT-5.1-CodexvsMistral Large 4Qwen3-MaxvsMistral Large 4Frequently asked questions
GPT-5.1-Codex and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen3-Max shipped 50 days before GPT-5.1-Codex, so benchmark comparisons should account for the intervening progress.
Context windows are 400k (GPT-5.1-Codex) vs 256k (Qwen3-Max).
Direct benchmark comparisons are unavailable — GPT-5.1-Codex and Qwen3-Max don't publish scores on any of the same benchmarks.