LLMPrice.io

Devstral Small API pricing

Published on-demand rates for Mistral's mistral/devstral-small-latest, captured 2026-09-24 from public pricing data and committed to our archive. Context window 256k tokens; first observed in our archive 2026-02-23.

MeterUSD per 1M tokens
Input$0.100
Output$0.300
Cached input$0.010

Standard on-demand rates. Excludes batch endpoints and negotiated pricing; confirm on Mistral's pricing page before committing.

What it costs on a real workload

Per 1M tokens processed, at the rates above. How the four profiles are defined.

ProfileIn / out mixCached shareCost
Retrieval800k / 200k70%$0.090
Chat500k / 500k30%$0.186
Content200k / 800k20%$0.256
Agent900k / 100k85%$0.051

Compare every model on these profiles →

Observed rate history

ObservedInputOutputCached input
2026-02-23$0.100$0.300entered our archive
2026-09-19$0.100$0.300$0.010repricing observed

Dates are when we observed the rate in our own snapshots, which can lag the provider's announcement. Rates per 1M tokens.

What the record shows

We have observed one change to Devstral Small's rates since it entered our archive on 2026-02-23. The most recent, on 2026-09-19, left the output rate unchanged.

Against the 40 models we price, it is the 3rd cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 4th cheapest for content-shaped work, which does the reverse. The two are close, so it holds its position whichever way your workload leans.

It charges 3.0 times more for output than for input, against a median of 5.0 times across the set. That is narrower than most, so it punishes long answers less than the typical model does.

Inside Mistral's own lineup it is the 3rd cheapest of the 9 models we track on this workload, so 2 cheaper and 6 more expensive options sit on the same account behind the same key.

28 of the 40 models we price offer a larger context window, and 2 match it exactly. Context is a capability limit rather than a cost one: paying more buys no extra room unless the larger window is what you are paying for.

Cached input reads at $0.010 against a standard input rate of $0.100, a 90% discount on the part of your prompt that repeats.

Whether it accepts image input is not stated in the source we capture, and we do not guess at it.

Its 256k token context window holds roughly 192,000 words of English text in a single request. A workload that does not fit cannot run here at any price, which is a capability limit rather than a cost one.

Priced near this one

Closest to Devstral Small on a retrieval workload, cheaper and more expensive alike. Cost only; we publish no quality score.

ModelProviderInputOutputvs Devstral Small
GPT 5 NanoOpenAI$0.050$0.4006% more
Ministral 3 14BMistral$0.200$0.20011% more
Ministral 3 8BMistral$0.150$0.15017% less
Gemini 2.5 Flash LiteGoogle$0.100$0.40022% more

Retrieval profile: 800k in, 200k out, 70% cached where offered.

Price your own prompt on it Estimate a whole project Plain rate card Mistral's console →

No affiliate or referral arrangements: the console link carries no parameters and nothing on this page is paid placement. Devstral Small is a trademark of its owner; LLMPrice.io is independent and unaffiliated.