AI Model Comparison
GPT-4o mini
GPT-4o mini — OpenAI large language model (2024) with a 128K-token context window and an MMLU score of 82.0%.
Key specifications
| MMLU (capability) | 82.0% |
|---|---|
| Context window (K tokens) | 128 |
| Input price ($/1M) | 0.2 |
| Output price ($/1M) | 0.6 |
About GPT-4o mini
The GPT-4o mini is a large language model from OpenAI with a 128K-token context window and an MMLU score of 82.0%. It is proprietary api, accessed via API. MMLU measures general knowledge and reasoning; real-world quality also depends on coding, tool use, latency and safety.
The comparisons below show how GPT-4o mini stacks up against the alternatives people most often weigh against it, with the specific numbers laid out side by side.
Frequently asked questions
Is the GPT-4o mini any good?
GPT-4o mini — OpenAI large language model (2024) with a 128K-token context window and an MMLU score of 82.0%.
What are the key specs of the GPT-4o mini?
See the specification table above for the full breakdown.
✓ Reviewed by Priya Nair, Data Quality Reviewer.
Last updated 2026-05-01