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Model

Mistral Large 2.1

Flagship Mistral model for advanced reasoning, coding, and multilingual work

3 providers · 3 listingsreleased knowledge cutoff 2024-11open weights
$2
lowest input /M · Merge Gateway
$6
lowest output /M · Merge Gateway
131K
context window
102K
max output

Compare providers (sorted by listed input price)

3 providers list Mistral Large 2.1. The cheapest full-context option is NanoGPT at $2.01/$6 per M — 9% below Mistral's own price.

3 listings
Cache read /MCache write /MCapabilitiesStatus
Merge Gateway
mistral/mistral-large-2411
$2$6131Kno reasoningtoolsno structuredno visionNov 18, 2024
Mistral
mistral-large-2411
$2$6131Kno reasoningtoolsno structuredno visionNov 18, 2024
NanoGPT
mistralai/mistral-large
$2.01$6$0.2128Kno reasoningno toolsno structuredno visionFeb 26, 2024

Best price history

Daily lowest published price across live providers. A lower line is better for the buyer.

Best input /M
$2.01 0.3%
Best output /M
$6 0.0%
Provider coverage
3
3 at the start · 24 snapshots
Best published input and output price historyDaily lowest published price per one million tokens. Accent is input price and violet is output price. The vertical scale starts at zero.$0$3.24$6.48Aug 21, 2026Sep 1, 2026Sep 14, 2026
Best input priceBest output priceAug 21, 2026Sep 14, 2026

Price badge

Current price badge for Mistral Large 2.1
![Mistral Large 2.1 price](https://www.vaanalytics.in/badge/mistral/mistral-large-2411.svg)
https://www.vaanalytics.in/badge/mistral/mistral-large-2411.svg

Live SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.

Recent changes

Changelog →
  • contextvia nano-gpt · Sep 3, 2026
    • output: 256K → 102K tokens

Benchmarks

Scores a lab published about its own model are claims, not measurements. Rankings elsewhere on this site use independently measured scores only.

Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.