Retired May 2026
Open weights · Mistral Research License
Pixtral Large
A 124B multimodal model from Mistral AI built on Mistral Large 2, with weights under the Mistral Research License, handling many high-resolution images per input.
Key Specifications
- Context window
- 128K tokens
- Max output
- 33K tokens
- Parameters
- 124B
- Inputs
- Text, image
- Capabilities Show details
- Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON.
Estimated cost to self-host
Pixtral Large needs about 82 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3060 at about $346 a month.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo |
|---|---|---|---|
| 4-bitINT4 / FP4 |
82 GB
|
$346
|
|
| 8-bitFP8 / INT8 |
138 GB
|
$979
|
|
| 16-bitFP16 / BF16 |
262 GB
|
$3,168
|
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. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Frequently Asked Questions
What is Pixtral Large good for?
Several high-resolution images in one input, built on Mistral Large 2. Open weights under the Mistral Research License, servable on a single high-memory GPU.
When is Pixtral Large not a good fit?
Any hosted use: Mistral retired it from its API in May 2026. The Mistral Research License is not a commercial licence, so check its terms before self-hosting for a business.
What is the cheapest way to run Pixtral Large?
No provider we track hosts it; self-hosting on the cheapest rental that fits (8x RTX 3060, $0.48 per hour) costs about $346 a month.
Can I self-host Pixtral Large?
Yes. The weights are released under the Mistral Research License. At 4-bit it needs about 82 GB of GPU memory, which starts at roughly $346 a month on the cheapest rental that fits.
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