Pixtral 12B

Retired Dec 2025

Mistral AI's first multimodal model, built on the Mistral NeMo 12B backbone and released September 2024 under Apache 2.0, processing images at native resolution.

Params: 12.4B
Context: 128K tokens
Max output: 33K
Released: Sep 2024
License: Apache 2.0

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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 Pixtral 12B, cheapest input first. Set your monthly volume to see what each would bill.

Input M Output M

Every provider serving Pixtral 12B, with its price per 1M input and output tokens and what the volume above would cost
Provider	Input /1M	Output /1M	Cost at 10M in + 2M out	Link
Mistral Creator	Open weights, no hosted price			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

Pixtral 12B needs about 11 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 1× RTX 4060 Ti at about $94 a month.

Fits on 1 Single node ≤ 8

What it costs to self-host Pixtral 12B at each precision: the memory it needs, the cheapest rental that holds it, that rental's month and the API volume it pays off at
Precision	Memory	Cheapest fit (32K context)(Full 128K context)	Cost /mo
4-bit INT4 / FP4	11 GB19 GB	1× RTX 4060 Ti	$94$187
8-bit FP8 / INT8	20 GB25 GB	2× RTX 3060	$115$187
16-bit FP16 / BF16	32 GB48 GB	4× RTX 3060	$230$374

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.

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Capabilities

What Pixtral 12B accepts and can do, as published by Mistral.

Text Accepts and generates natural-language text.
Image Accepts images as input alongside text.

Common questions

What is Pixtral 12B good for?

Self-hosted image understanding, reading images at native resolution. Apache 2.0 weights, small enough for a single consumer GPU.

When is Pixtral 12B not a good fit?

Hosted use: Mistral retired it from its API in December 2025. No function calling or structured output, and its maximum output caps long single responses.

What is the cheapest way to run Pixtral 12B?

No provider we track hosts it; self-hosting on the cheapest rental that fits (1x RTX 4060 Ti, $0.13 per hour) costs about $94 a month.

Can I self-host Pixtral 12B?

Yes. The weights are Apache 2.0 licensed. At 4-bit it needs about 11 GB of GPU memory, which starts at roughly $94 a month on the cheapest rental that fits.