Mistral AI · Released Feb 26, 2024Mistral Large
Flagship Mistral model for advanced reasoning, coding, and multilingual work.
- Capability
- 122.0ECI · #153 of 165
- Input
- $0.50per 1M tokens
- Output
- $1.50per 1M tokens
- Context
- 128K102K max output
What it costs
- Input
- $0.50per million tokens
- Output
- $1.50per million tokens
- Cached input
- $0.05per million tokens
- Blended (3:1)
- $0.75pricier than 50% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $1.75 |
| Team assistant25M input + 5M output tokens | $20.00 |
| Production app250M input + 50M output tokens | $200.00 |
Official Mistral API price, as listed on models.dev.
Independent benchmarks
#153 of 165 scored models
The shaded band is Epoch AI’s confidence range (115.7–124.8); the tick marks the median scored model.
Scores from Epoch AI, run independently of Mistral AI.
The details
- Lab
- Mistral AI
- Released
- Feb 26, 2024
- Knowledge cutoff
- Nov 30, 2024
- Context window
- 128,000 tokens
- Max output
- 102,400 tokens
- Inputs
- Text, PDFs
- Output
- Text
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- Yes
- Weights
- Proprietary
- API model ID
mistral-large-lateston Mistral- Availability
- 11 API providerslisted on models.dev
More from Mistral AI
About Mistral Large
How much does Mistral Large cost?
Mistral Large costs $0.50 input / $1.50 output per million tokens (official Mistral API price). Cached input is $0.05 per million tokens. At a 3:1 input-to-output mix that is $0.75 per million tokens, more expensive than 50% of the 445 priced models we track.
What is the context window of Mistral Large?
Mistral Large accepts up to 128,000 tokens per request and can write up to 102,400 tokens in one response.
How good is Mistral Large?
Epoch AI gives Mistral Large a Capabilities Index score of 122.0 (likely range 115.7–124.8), ranking it #153 of 165 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 38.8%, OTIS Mock AIME 2024–2025 1.9%.
Is Mistral Large open source?
No. Mistral Large is proprietary; you use it through Mistral’s API or partner platforms.
What inputs does Mistral Large support?
Mistral Large accepts text and PDFs and replies in text. It is not a dedicated reasoning model, supports tool calling and can return structured JSON output.
When was Mistral Large released?
Mistral AI released Mistral Large on Feb 26, 2024. Its training data runs to Nov 30, 2024.
What are the best alternatives to Mistral Large?
The closest current models from other labs on capability, price and release date are Gemma 2 27B (Google, ECI 122.1, $0.65 / $0.65), Claude Haiku 3 (Anthropic, ECI 118.8, $0.25 / $1.25), Llama-3.1-70B-Instruct (Meta, ECI 125.9, $0.72 / $0.72) and WizardLM 2 8x22B (Microsoft, $0.493 / $0.493).