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. | 200k | 2k |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | May 16 2025 | Aug 3 2023 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
codex-mini-latestvsClaude Fable 5.2Qwen-7BvsClaude Fable 5.2codex-mini-latestvsGemini 4 CarbonQwen-7BvsGemini 4 Carboncodex-mini-latestvsMuse EmberQwen-7BvsMuse Embercodex-mini-latestvsGrok 4.7Qwen-7BvsGrok 4.7codex-mini-latestvsDeepSeek-V4.1-Flash-1017Qwen-7BvsDeepSeek-V4.1-Flash-1017codex-mini-latestvsMistral Large 4Qwen-7BvsMistral Large 4Frequently asked questions
codex-mini-latest 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 652 days before codex-mini-latest, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (codex-mini-latest) vs 2k (Qwen-7B). codex-mini-latest is closed, while Qwen-7B is open weight.
Direct benchmark comparisons are unavailable — codex-mini-latest and Qwen-7B don't publish scores on any of the same benchmarks.