Grok 4.3 vs Mistral Nemo
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 Grok 4.3 and Mistral Nemo.
Grok 4.3
Grok 4.3 is a reasoning model from xAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
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,...
Technical Specifications
| Specification | Grok 4.3 | Mistral Nemo |
|---|---|---|
| Provider | xAI | Mistral |
| Context Window | 1,000,000 tokens | 131,072 tokens |
| Agent Suitability | 87/100 | N/A |
| Time to First Token (TTFT) | 400 ms | N/A |
| Deployment Model | managed api | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-30 | 2024-07-19 |
API Pricing Comparison
Input Price per Million Tokens
Grok 4.3
$1.25
Mistral Nemo
$0.02
Output Price per Million Tokens
Grok 4.3
$2.50
Mistral Nemo
$0.03
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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.
Grok 4.3 Quirks & Gotchas
- ▸Strong coding performance — competitive with Claude Sonnet at similar price point
- ▸Upgrade to Grok 4.20 for improved reasoning and tool calling
Mistral Nemo Quirks & Gotchas
No developer gotchas reported.