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. | — | 7B |
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 | 2k |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Nov 13 2025 | Aug 3 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
GPT-5.1-Codex-MinivsClaude Fable 5.2Qwen-7BvsClaude Fable 5.2GPT-5.1-Codex-MinivsGemini 4 CarbonQwen-7BvsGemini 4 CarbonGPT-5.1-Codex-MinivsMuse EmberQwen-7BvsMuse EmberGPT-5.1-Codex-MinivsGrok 4.7Qwen-7BvsGrok 4.7GPT-5.1-Codex-MinivsDeepSeek-V4.1-Flash-1017Qwen-7BvsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MinivsMistral Large 4Qwen-7BvsMistral Large 4Frequently asked questions
GPT-5.1-Codex-Mini and Qwen-7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen-7B shipped 833 days before GPT-5.1-Codex-Mini, so benchmark comparisons should account for the intervening progress.
Context windows are 400k (GPT-5.1-Codex-Mini) vs 2k (Qwen-7B). GPT-5.1-Codex-Mini is closed, while Qwen-7B is open weight.
Direct benchmark comparisons are unavailable — GPT-5.1-Codex-Mini and Qwen-7B don't publish scores on any of the same benchmarks.