Mistral Large 3
Mistral's flagship open-weight model under Apache 2.0 and its return to mixture-of-experts: a granular MoE with 675B total and 41B active parameters, including a 2.5B vision encoder.
- Params
- 675B, 41B active
- Context
- 256K tokens
- Released
- License
- Apache 2.0
Hosted API price
List price via Mistral · per 1M tokens
- Input
- $0.50 /1M
- Output
- $1.50 /1M
- Hosted by
-
2 providers
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 3, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|
|
|
$0.50 | $1.50 | $8.00 | Visit website |
|
|
$0.50 | $1.50 | $8.00 | 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.
Estimated cost to self-host
Mistral Large 3 needs about 381 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× A100 at about $10,138 a month.
That costs the same as roughly 15B tokens a month on Mistral's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 381 GB |
|
$10,138 | 15B tokens /mo |
| 8-bit FP8 / INT8 | 681 GB |
|
$12,730 | 19B tokens /mo |
| 16-bit FP16 / BF16 | 1,360 GB |
|
$45,446 | 68B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. KV cache assumed at 250 KB per token, a conservative default. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Similarly priced models
The models nearest Mistral Large 3 by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Mistral Large 3 |
|---|---|---|---|---|---|---|
|
|
$0.575 | $0.38 | $1.55 | 262K | −14% | |
|
|
$0.60 | $0.40 | $1.60 | 1M | Jun 2024 | −10% |
|
|
$0.6667 | $0.30 | $2.50 | 1M | Jan 2025 | 0% |
|
|
$0.6667 | $0.30 | $2.50 | 1M | Mar 2026 | 0% |
|
|
$0.6667 | $0.50 | $1.50 | 16K | Sep 2021 | 0% |
|
|
$0.6667 | $0.50 | $1.50 | 256K | ||
|
|
$0.7333 | $0.40 | $2.40 | 1M | +10% | |
|
|
$0.7667 | $0.60 | $1.60 | 200K | +15% | |
|
|
$0.80 | $0.80 | $0.80 | 131K | +20% | |
|
|
$0.8667 | $0.60 | $2.20 | 205K | +30% | |
|
|
$0.9167 | $0.50 | $3.00 | 1M | Jan 2025 | +38% |
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 3 accepts and can do, as published by Mistral.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- 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 3 good for?
General multimodal and multilingual work, as Mistral's open-weight flagship. Apache 2.0 weights, on a multi-GPU node.
When is Mistral Large 3 not a good fit?
Self-hosting on modest hardware: memory follows the full 675B parameters, not the 41B active. No audio or video input, it sits near the top of Mistral's price range, and no maximum output length is published.
What is the cheapest way to run Mistral Large 3?
Hosted, unless you push serious volume. Mistral charges $0.50 in / $1.50 out per 1M tokens. The cheapest rental that fits is 8x A100 at $10,138 a month, which costs the same as about 15B tokens a month on that API.
Can I self-host Mistral Large 3?
Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 381 GB of GPU memory, which starts at roughly $10,138 a month on the cheapest rental that fits.
More from Mistral
-
Codestral
128K context
From $0.30 / $0.90 /1M in / out at the cheapest provider -
Mistral Small 4
Open weights
256K context
From $0.15 / $0.60 /1M in / out at the cheapest provider -
Ministral 3 14B
Open weights
256K context
From $0.20 / $0.20 /1M in / out at the cheapest provider -
Mistral Medium 3.5
Open weights
256K context
From $1.50 / $7.50 /1M in / out at the cheapest provider -
Ministral 3 8B
Open weights
256K context
From $0.15 / $0.15 /1M in / out at the cheapest provider -
Ministral 3 3B
Open weights
256K context
From $0.10 / $0.10 /1M in / out at the cheapest provider -
Mistral NeMo
Open weights
128K context
From $0.04 / $0.17 /1M in / out at the cheapest provider -
Devstral Medium
128K context