Llama 4 Maverick 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 Llama 4 Maverick and Mistral Nemo.
Llama 4 Maverick
Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.
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 | Llama 4 Maverick | Mistral Nemo |
|---|---|---|
| Provider | Meta | Mistral |
| Context Window | 1,048,576 tokens | 131,072 tokens |
| Agent Suitability | 89/100 | N/A |
| Time to First Token (TTFT) | 300 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-25 | 2024-07-19 |
API Pricing Comparison
Input Price per Million Tokens
Llama 4 Maverick
$0.15
Mistral Nemo
$0.02
Output Price per Million Tokens
Llama 4 Maverick
$0.60
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.
Llama 4 Maverick Quirks & Gotchas
- ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
- ▸Requires specific system prompt for optimal function calling reliability
Mistral Nemo Quirks & Gotchas
No developer gotchas reported.