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. | 1.8B/3.25B | — |
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. | 32k | 400k |
| These models have no shared benchmark scores. | ||
MATHReasoning — accuracy on the original competition mathematics test set | 22.8% | — |
MMLUGeneral knowledge — A 57-subject multiple-choice exam — history, law, medicine, maths — that was the standard measure of how much a model knows from 2020 until roughly 2024, when frontier scores crowded into the high 80s and labs moved on to harder tests. The scores here were published years apart under different testing setups, so read them as a historical record rather than a like-for-like ranking. Higher is better. | 55.8% | — |
MathVistaMultimodal reasoning — mathematical reasoning about visual information | 30.6% | — |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 32.6% | — |
| Overview | ||
| Company | OpenAI | |
| Release date | Dec 6 2023 | Nov 13 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 NanovsClaude Fable 5.2GPT-5.1-Codex-MinivsClaude Fable 5.2Gemini 1.0 NanovsMuse EmberGPT-5.1-Codex-MinivsMuse EmberGemini 1.0 NanovsGrok 4.7GPT-5.1-Codex-MinivsGrok 4.7Gemini 1.0 NanovsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MinivsDeepSeek-V4.1-Flash-1017Gemini 1.0 NanovsMistral Large 4GPT-5.1-Codex-MinivsMistral Large 4Gemini 1.0 NanovsKimi K3.1 ProGPT-5.1-Codex-MinivsKimi K3.1 ProFrequently asked questions
Gemini 1.0 Nano and GPT-5.1-Codex-Mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.0 Nano shipped 708 days before GPT-5.1-Codex-Mini, so benchmark comparisons should account for the intervening progress.
Context windows are 32k (Gemini 1.0 Nano) vs 400k (GPT-5.1-Codex-Mini).
Direct benchmark comparisons are unavailable — Gemini 1.0 Nano and GPT-5.1-Codex-Mini don't publish scores on any of the same benchmarks.