Mistral Large 3
Context window
This model accepts 256K tokens in one request (~192K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- FitsSmall 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
- 256,000 tokens (256K)
- Max output tokens
- 8,191 tokens (8K)
- Speed tier
- deep
- Provider
- Mistral
- Model family
- Mistral Large
- Input cost
- $0.500/M / 1M tokens
- Output cost
- $1.50/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Vision
- Accepts image inputs alongside text
- Supported
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- 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 Large 3
Open a side-by-side comparison with one click.
- Mistral Large 3 vs Amazon Titan Text Express
Mistral Large 3 has 509% larger context window
- Mistral Large 3 vs Amazon Titan Text Lite
Mistral Large 3 has 509% larger context window
- Mistral Large 3 vs Amazon Titan Text Premier
Mistral Large 3 has 509% larger context window
- Mistral Large 3 vs Claude Instant
Mistral Large 3 has 156% larger context window
- Mistral Large 3 vs Anthropic Claude
Mistral Large 3 has 156% larger context window
- Mistral Large 3 vs Codellama 34b Instruct
Mistral Large 3 has 6150% 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.
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model