Mistral Large
Retired May 2026Mistral AI's 123B flagship general-purpose dense model, released July 2024, with broad multilingual coverage and support for many programming languages.
- Params
- 123B
- Context
- 128K tokens
- Max output
- 33K
- Released
- License
- Mistral Research License
Estimated cost to self-host
Mistral Large needs about 81 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 8× RTX 3060 at about $461 a month.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo |
|---|---|---|---|
| 4-bit INT4 / FP4 | 81 GB |
|
$461 |
| 8-bit FP8 / INT8 | 137 GB |
|
$1,440 |
| 16-bit FP16 / BF16 | 260 GB |
|
$3,283 |
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. Pricing methodology.
Capabilities
What Mistral Large accepts and can do, as published by Mistral.
- Text Accepts and generates natural-language text.
- Function calling Connect to external tools, APIs, and systems.
- Structured output Return responses in structured formats like JSON.
Common questions
What is Mistral Large good for?
General text work with broad multilingual coverage and many programming languages. Dense open weights under the Mistral Research License, servable on a single high-memory GPU.
When is Mistral Large not a good fit?
Any hosted use: Mistral retired it from its API in May 2026. Text only, and 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 Mistral Large?
No provider we track hosts it; self-hosting on the cheapest rental that fits (8x RTX 3060, $0.64 per hour) costs about $461 a month.
Can I self-host Mistral Large?
Yes. The weights are released under the Mistral Research License. At 4-bit it needs about 81 GB of GPU memory, which starts at roughly $461 a month on the cheapest rental that fits.
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