Pixtral 12B

mistralai/pixtral-12b

Mistral AI· 128K ctx

open weightstool call quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$0.150 – $0.285 · 2 providers · max÷min 1.9×

2 providers priced · 2 offerings · 1 omitted (stale)

Including routers & resellers

Cheapest / median / spread use providers that serve the model on their own capacity: first-party lab, hyperscaler, inference host.

Provider classes in the stats:

Blended $/M assumptionsInput : output: 1Cache-hit share of input%

blended = 90.9% input × [(1 − 70% cache) × input + 70% cache × cache-read] + 9.1% × output + cache writes (30% of uncached input) where a write price is published

A provider that publishes no cache price is blended with cache share 0 (all input at the input price) and labelled “no cache price published” — never penalised against identical in/out prices.

Provider	Input	Output	Cache rd	Blended
Mistralfirst-party first-party lab	$0.150	$0.150	—	$0.150no cache price published
Pioneer unclassified	$0.150	$0.150	$0.150	$0.162
GreenPT inference host	$0.285	$0.285	—	$0.285no cache price published

Stale offerings (not in the spread) · 1

Last priced more than 3 days before the latest snapshot — shown for reference, never mixed into cheapest, median or spread.

Vercel AI Gateway mistral/pixtral-12bpay per token

Connect

Provider (default: cheapest output among direct providers)

$0.150 /M · first-party lab

opencode.json

{
  "provider": {
    "mistral": {
      "npm": "@ai-sdk/mistral",
      "models": {
        "pixtral-12b": {}
      }
    }
  }
}

Set MISTRAL_API_KEY in your environment. Generated — verify against the OpenCode docs.

Output $/M over time7-day preview

Median line, min–max band. Pre-2026-09 points are catalog-recorded dates from models.dev git history, not provider effective dates.

Data: models.dev (MIT), snapshot 2026-09-20. Prices are vendor-published; verify before purchase. Methodology.