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. | 200k | 32k |
| Overview | ||
| Company | OpenAI | Qwen |
| Release date | May 16 2025 | Feb 4 2024 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
codex-mini-latestvsClaude Fable 5.2Qwen1.5vsClaude Fable 5.2codex-mini-latestvsGemini 4 CarbonQwen1.5vsGemini 4 Carboncodex-mini-latestvsMuse EmberQwen1.5vsMuse Embercodex-mini-latestvsGrok 4.7Qwen1.5vsGrok 4.7codex-mini-latestvsDeepSeek-V4.1-Flash-1017Qwen1.5vsDeepSeek-V4.1-Flash-1017codex-mini-latestvsMistral Large 4Qwen1.5vsMistral Large 4Frequently asked questions
codex-mini-latest 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 467 days before codex-mini-latest, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (codex-mini-latest) vs 32k (Qwen1.5). codex-mini-latest is closed, while Qwen1.5 is open weight.
Direct benchmark comparisons are unavailable — codex-mini-latest and Qwen1.5 don't publish scores on any of the same benchmarks.