Mistral Nemo Instruct 2407
Context window
This model accepts 131K tokens in one request (~98K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- Won't fitSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 131,072 tokens (131K)
- Max output tokens
- 131,072 tokens (131K)
- Speed tier
- balanced
- Provider
- Mistral
- Input cost
- $0.020/M / 1M tokens
- Output cost
- $0.040/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Vision
- Accepts image inputs alongside text
- Not supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Mistral Nemo Instruct 2407
Open a side-by-side comparison with one click.
- Mistral Nemo Instruct 2407 vs Amazon Titan Text Express
Mistral Nemo Instruct 2407 has 212% larger context window
- Mistral Nemo Instruct 2407 vs Amazon Titan Text Lite
Mistral Nemo Instruct 2407 has 212% larger context window
- Mistral Nemo Instruct 2407 vs Amazon Titan Text Premier
Mistral Nemo Instruct 2407 has 212% larger context window
- Mistral Nemo Instruct 2407 vs Claude Instant
Mistral Nemo Instruct 2407 has 31% larger context window
- Mistral Nemo Instruct 2407 vs Anthropic Claude
Mistral Nemo Instruct 2407 has 31% larger context window
- Mistral Nemo Instruct 2407 vs Codellama 34b Instruct
Mistral Nemo Instruct 2407 has 3100% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Mistral
Other models by Mistral in our catalog.
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