Data updated 2026-10-26.
Price spread

Large

ambient/large

ambient· 203K ctx
open weightstool callreasoningstructured quant: unknown

spread (output, p90 ÷ p10)

— too few providers

$1.50 – $2.00 · 2 providers · max÷min 1.3×

2 providers priced · 2 offerings

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
Mistral
first-party lab
$0.50$1.50$0.05$0.30
Ambient
inference host
$0.60$2.00$0.15$0.44
Kilo Gateway
router / aggregator
$2.00$6.00$0.20$1.22
OpenRouter
router / aggregator
$2.00$6.00$0.20$1.22
NanoGPT
router / aggregator
$2.01$6.00$0.20$1.22
AI/ML API
unclassified
$2.12$6.35$0.21$1.29
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) mistral-large-latestsubscription plan
Free tiers (rate-limited) · 1

No payment required; rate limits and quotas apply (not tracked yet). Excluded from cheapest, median and spread.

  • Kenari mistral-large:freefree tier

Data: models.dev (MIT), snapshot 2026-10-26. Prices are vendor-published; verify before purchase. Methodology.