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. | — | 0.5B/1.8B/4B/7B/14B/72B |
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 |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | Nov 13 2025 | Feb 4 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
GPT-5.1-Codex-MinivsClaude Fable 5.2Qwen1.5vsClaude Fable 5.2GPT-5.1-Codex-MinivsGemini 4 CarbonQwen1.5vsGemini 4 CarbonGPT-5.1-Codex-MinivsMuse EmberQwen1.5vsMuse EmberGPT-5.1-Codex-MinivsGrok 4.7Qwen1.5vsGrok 4.7GPT-5.1-Codex-MinivsDeepSeek-V4.1-Flash-1017Qwen1.5vsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MinivsMistral Large 4Qwen1.5vsMistral Large 4Frequently asked questions
GPT-5.1-Codex-Mini and Qwen1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen1.5 shipped 648 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 32k (Qwen1.5). GPT-5.1-Codex-Mini is closed, while Qwen1.5 is open weight.
Direct benchmark comparisons are unavailable — GPT-5.1-Codex-Mini and Qwen1.5 don't publish scores on any of the same benchmarks.