Mistral Large 4
Mistral's new flagship, a granular mixture-of-experts with about 1T total and 52B active parameters plus a vision encoder, combining instruction following, reasoning and agent work in one model.
- Context
- 1M tokens
- Released
Hosted API price
List price via Mistral · per 1M tokens
- Input
- $0.68 /1M
- Output
- $2.09 /1M
- Hosted by
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1 provider
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Mistral Large 4, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
|
|
$0.68 | $2.09 | $0.07 | $10.98 | Visit website |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Similarly priced models
The models nearest Mistral Large 4 by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Mistral Large 4 |
|---|---|---|---|---|---|---|
|
|
$0.6667 | $0.50 | $1.50 | 256K | −27% | |
|
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$0.7333 | $0.40 | $2.40 | 1M | −20% | |
|
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$0.7667 | $0.60 | $1.60 | 200K | −16% | |
|
|
$0.80 | $0.80 | $0.80 | 131K | −13% | |
|
|
$0.8667 | $0.60 | $2.20 | 205K | −5% | |
|
|
$0.915 | $0.68 | $2.09 | 1M | ||
|
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$0.9167 | $0.50 | $3.00 | 1M | Jan 2025 | 0% |
|
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$0.9167 | $0.50 | $3.00 | 1M | 0% | |
|
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$0.95 | $0.70 | $2.20 | 1M | +4% | |
|
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$0.99 | $0.66 | $2.64 | 1M | Sep 2025 | +8% |
|
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$1.00 | $0.70 | $2.50 | 128K | +9% |
USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Capabilities
What Mistral Large 4 accepts and can do, as published by Mistral.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Reasoning Thinks before it answers, always on or as a switchable mode.
- Function calling Connect to external tools, APIs, and systems.
- Structured output Return responses in structured formats like JSON.
- Web search Search the web for up-to-date information.
- Code execution Write and execute code in a sandboxed environment.
- File upload Process uploaded documents, spreadsheets, and other files.
- Image generation Generate and edit images from text prompts.
Common questions
What is Mistral Large 4 good for?
General multimodal and agent work at the top of Mistral's lineup, with reasoning and instruction following in one model. Mistral has announced open weights for it, due by the end of October 2026, under a license it has not yet named.
When is Mistral Large 4 not a good fit?
Self-hosting yet: the weights are not published, and once they are, memory follows the full 1T parameters, not the 52B active, so it takes more than one node. It is a public preview, and no maximum output length or knowledge cutoff is published.
What is the cheapest way to run Mistral Large 4?
The cheapest hosted rate is $0.68 / $2.09 per 1M tokens via Mistral.
How does Mistral Large 4 compare with Mistral Large 3?
Same text and image input. Mistral Large 4 lists at 36% more per 1M input tokens and 39% more per 1M output tokens than Mistral Large 3. It came out 10 months later, has a larger context (1M against 256K tokens) and more parameters (1.1T with 52B active against 675B with 41B active) and keeps its weights closed, where Mistral Large 3 publishes them under Apache 2.0.
Can I self-host Mistral Large 4?
No. Mistral does not publish the weights; Mistral Large 4 is available only through hosted APIs.
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