Data as of 2026-09-20.
Price spread

Devstral 2

mistralai/devstral-2512

Mistral AI· 262K ctx
open weightstool callstructured quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$2.00 – $2.00 · 1 providers · max÷min 1.0×

1 provider priced · 1 offering

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 assumptions

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.

ProviderInputOutputCache rdBlended
Opper
router / aggregator
$0.40$2.00—$0.55no cache price published
Eden AI
router / aggregator
$0.40$2.00$0.04$0.32
Kilo Gateway
router / aggregator
$0.40$2.00$0.04$0.32
LLM Gateway
router / aggregator
$0.40$2.00—$0.55no cache price published
Merge Gateway
router / aggregator
$0.40$2.00$0.04$0.32
Mistralfirst-party
first-party lab
$0.40$2.00—$0.55no cache price published
OpenRouter
router / aggregator
$0.40$2.00$0.04$0.32
Cortecs
router / aggregator
$0.48$2.39$0.04$0.38
Subscription plans (flat fee, not per-token) · 1

Flat-fee plan — the per-token price is bundled into a subscription, so $0/token is not free. Excluded from cheapest, median and spread.

  • DevPass (LLM Gateway) devstral-2512subscription plan

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