Mistral AI · Released Nov 18, 2024Mistral Large 2.1
Flagship Mistral model for advanced reasoning, coding, and multilingual work.
- Capability
- 128.5ECI · #130 of 148
- Input
- $2.00per 1M tokens
- Output
- $6.00per 1M tokens
- Context
- 131K16K max output
What it costs
- Input
- $2.00per million tokens
- Output
- $6.00per million tokens
- Blended (3:1)
- $3.00pricier than 74% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $7.00 |
| Team assistant25M input + 5M output tokens | $80.00 |
| Production app250M input + 50M output tokens | $800.00 |
Official Mistral API price, as listed on models.dev.
Independent benchmarks
#130 of 148 scored models
The shaded band is Epoch AI’s confidence range (123.8–130.8); the tick marks the median scored model.
Scores from Epoch AI, run independently of Mistral AI.
The details
- Lab
- Mistral AI
- Released
- Nov 18, 2024
- Knowledge cutoff
- Nov 2024
- Context window
- 131,072 tokens
- Max output
- 16,384 tokens
- Inputs
- Text
- Output
- Text
- Reasoning
- No
- Tool calling
- Yes
- Structured output
- No
- Weights
- Open weights
- API model ID
mistral-large-2411on Mistral- Availability
- 2 API providerslisted on models.dev
What Mistral AI claims
Published by the lab at launch. Settings vary, so compare these only with care.
More from Mistral AI
About Mistral Large 2.1
How much does Mistral Large 2.1 cost?
Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price). At a 3:1 input-to-output mix that is $3.00 per million tokens, more expensive than 74% of the 360 priced models we track.
What is the context window of Mistral Large 2.1?
Mistral Large 2.1 accepts up to 131,072 tokens per request and can write up to 16,384 tokens in one response.
How good is Mistral Large 2.1?
Epoch AI gives Mistral Large 2.1 a Capabilities Index score of 128.5 (likely range 123.8–130.8), ranking it #130 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 51.3%, OTIS Mock AIME 2024–2025 7.8%.
Is Mistral Large 2.1 open source?
Yes. Mistral AI publishes the weights, so it can be downloaded and self-hosted.
What inputs does Mistral Large 2.1 support?
Mistral Large 2.1 accepts text and replies in text. It is not a dedicated reasoning model, supports tool calling.
When was Mistral Large 2.1 released?
Mistral AI released Mistral Large 2.1 on Nov 18, 2024. Its training data runs to Nov 2024.
What are the best alternatives to Mistral Large 2.1?
The closest current models from other labs on capability, price and release date are Qwen2.5 72B Instruct (Alibaba (Qwen), ECI 129.0, $1.40 / $5.60), GPT-4o (OpenAI, ECI 129.0, $2.50 / $10.00), Claude Haiku 3.5 (Anthropic, ECI 127.2) and Nova Pro (Amazon, ECI 123.8, $0.80 / $3.20).