Mistral AI · Released Oct 6, 2026Mistral Large 4
Mistral's 1T-parameter multimodal MoE for reasoning, coding, and agentic work.
- Capability
- 150.6ECI · #57 of 165
- Input
- $0.70per 1M tokens
- Output
- $2.10per 1M tokens
- Context
- 1.05M262K max output
What it costs
- Input
- $0.70per million tokens
- Output
- $2.10per million tokens
- Cached input
- $0.07per million tokens
- Blended (3:1)
- $1.05pricier than 60% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $2.45 |
| Team assistant25M input + 5M output tokens | $28.00 |
| Production app250M input + 50M output tokens | $280.00 |
Official Mistral API price, as listed on models.dev.
Independent benchmarks
#57 of 165 scored models
The shaded band is Epoch AI’s confidence range (147.4–153.5); the tick marks the median scored model.
Scores from Epoch AI, run independently of Mistral AI.
The details
- Lab
- Mistral AI
- Released
- Oct 6, 2026
- Context window
- 1,048,576 tokens
- Max output
- 262,144 tokens
- Inputs
- Text, Images
- Output
- Text
- Reasoning
- Adjustable effort low · medium · high
- Tool calling
- Yes
- Structured output
- Yes
- Weights
- Proprietary
- API model ID
mistral-large-4on Mistral- Availability
- 15 API providerslisted on models.dev
- Status
- Beta
More from Mistral AI
About Mistral Large 4
How much does Mistral Large 4 cost?
Mistral Large 4 costs $0.70 input / $2.10 output per million tokens (official Mistral API price). Cached input is $0.07 per million tokens. At a 3:1 input-to-output mix that is $1.05 per million tokens, more expensive than 60% of the 445 priced models we track.
What is the context window of Mistral Large 4?
Mistral Large 4 accepts up to 1,048,576 tokens per request and can write up to 262,144 tokens in one response.
How good is Mistral Large 4?
Epoch AI gives Mistral Large 4 a Capabilities Index score of 150.6 (likely range 147.4–153.5), ranking it #57 of 165 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 88.1%, FrontierMath Tiers 1–3 58.6%, OTIS Mock AIME 2024–2025 98.3%, SimpleQA Verified 20.0%.
Is Mistral Large 4 open source?
No. Mistral Large 4 is proprietary; you use it through Mistral’s API or partner platforms.
What inputs does Mistral Large 4 support?
Mistral Large 4 accepts text and images and replies in text. It is a reasoning model with low, medium and high effort settings, supports tool calling and can return structured JSON output.
When was Mistral Large 4 released?
Mistral AI released Mistral Large 4 on Oct 6, 2026.
What are the best alternatives to Mistral Large 4?
The closest current models from other labs on capability, price and release date are Inkling Small (Thinking Machines, ECI 150.5, $0.58 / $1.44), Qwen3.8 27B (Alibaba (Qwen), ECI 151.8, $0.40 / $2.55), Kimi K2.7 Code (Moonshot AI, ECI 150.2, $0.95 / $4.00) and DeepSeek V4 Pro 0813 (DeepSeek, ECI 155.9, $0.66 / $1.98).