Mistral Nemo
Mistral Nemo is Mistral's lightweight model optimized for efficient text processing with a 128K token context window.
API Pricing
Cheapest on Deep Infra — 78% below avg| Provider | Input / 1M | Output / 1M | Updated |
|---|---|---|---|
| $0.020 | $0.040 | 4/4/2026 | |
| $0.020 | $0.040 | 4/14/2026 | |
| $0.231 | $0.231 | 4/7/2026 |
Prices updated daily. Last check: 4/14/2026
Model Details
General
- Creator
- Mistral
- Family
- Mistral
- Tier
- Lightweight
- Context Window
- 131K
- Modalities
- Text
Capabilities
- Tool Calling
- No
- Open Source
- No
Strengths & Limitations
- 128K token context window for processing lengthy documents
- Lightweight architecture optimized for efficiency
- Text generation and comprehension capabilities
- Lower computational requirements than flagship models
- Streaming response support for real-time applications
- JSON mode for structured output generation
- Multilingual text processing support
- No tool calling or function execution capabilities
- Text-only model with no image or multimodal support
- Proprietary model with weights not publicly available
- Smaller parameter count limits complex reasoning compared to flagship models
- No fine-tuning availability through standard APIs
Key Features
About Mistral Nemo
Common Use Cases
Mistral Nemo is well-suited for applications requiring efficient text processing at scale, including content generation, document summarization, customer support automation, and text analysis workflows. Its lightweight architecture makes it appropriate for high-volume use cases where cost efficiency is important, such as content moderation, basic chatbots, text classification, and routine document processing. Organizations looking to implement language AI capabilities without the computational expense of larger models will find Mistral Nemo effective for standard text-based tasks that don't require advanced reasoning, tool use, or multimodal capabilities.
Frequently Asked Questions
How much does Mistral Nemo cost per million tokens?
Mistral Nemo pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers.
What is Mistral Nemo best used for?
Mistral Nemo excels at efficient text processing tasks including content generation, document analysis, summarization, and conversational applications where cost-effectiveness is important. Its 128K context window makes it suitable for processing lengthy documents while maintaining lower computational requirements than flagship models.
Does Mistral Nemo support tool calling and function execution?
No, Mistral Nemo does not include tool calling capabilities. It's a text-only model focused on language processing tasks. For applications requiring function calling or tool integration, consider Mistral's larger models that include these features.