Mistral Small 3.2 24B Instruct 2506
mistralai/mistral-small-3.2-24b-instruct-2506
spread (output, p90 ÷ p10)
— too few providers
$0.310 – $0.350 · 3 providers · max÷min 1.1×
Cheapest / median / spread use providers that serve the model on their own capacity: first-party lab, hyperscaler, inference host.
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 |
|---|---|---|---|---|
OVHcloud AI Endpoints inference host | $0.100 | $0.310 | — | $0.119no cache price published |
Cortecs router / aggregator | $0.100 | $0.312 | — | $0.119no cache price published |
Berget.AI inference host | $0.330 | $0.330 | — | $0.330no cache price published |
Scaleway inference host | $0.150 | $0.350 | — | $0.168no 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.
- NanoGPT chutesai/Mistral-Small-3.2-24B-Instruct-2506pay per token
Unpriced · 1
Listed at $0 with no published pricing — we can't tell whether it's free, bundled or just missing. Excluded from cheapest, median and spread.
- Meganova mistralai/Mistral-Small-3.2-24B-Instruct-2506unpriced
Data: models.dev (MIT), snapshot 2026-09-20. Prices are vendor-published; verify before purchase. Methodology.