Mistral Nemo vs o4 Mini High
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Mistral Nemo and o4 Mini High.
Mistral Nemo
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
o4 Mini High
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
Technical Specifications
| Specification | Mistral Nemo | o4 Mini High |
|---|---|---|
| Provider | Mistral | OpenAI |
| Context Window | 131,072 tokens | 200,000 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-07-19 | 2025-04-16 |
API Pricing Comparison
Input Price per Million Tokens
Mistral Nemo
$0.02
o4 Mini High
$1.10
Output Price per Million Tokens
Mistral Nemo
$0.03
o4 Mini High
$4.40
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Mistral Nemo Quirks & Gotchas
No developer gotchas reported.
o4 Mini High Quirks & Gotchas
No developer gotchas reported.