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Mistral Large API pricing 2512

Published on-demand rates for Mistral's mistral/mistral-large-2512, captured 2026-09-21 from public pricing data and committed to our archive. Context window 262k tokens; first observed in our archive 2026-03-02.

MeterUSD per 1M tokens
Input$0.500
Output$1.50
Cached input$0.050

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%$0.448
Chat500k / 500k30%$0.932
Content200k / 800k20%$1.28
Agent900k / 100k85%$0.256

Compare every model on these profiles →

Observed rate history

ObservedInputOutputCached input
2026-03-02$0.500$1.50entered our archive
2026-08-30$0.500$1.50$0.050repricing 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 Mistral Large's rates since it entered our archive on 2026-03-02. The most recent, on 2026-08-30, left the output rate unchanged.

Against the 40 models we price, it is the 14th cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 15th 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 7th cheapest of the 10 models we track on this workload, so 6 cheaper and 3 more expensive options sit on the same account behind the same key.

22 of the 40 models we price offer a larger context window, and 4 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 $0.050 against a standard input rate of $0.500, a 90% discount on the part of your prompt that repeats.

It accepts image input, but Mistral publishes no rule for how images become tokens, so we will not price a scanned page on it. That is a gap in the provider's documentation rather than a limit of the model, and it is the reason this model is excluded from image estimates in our estimator instead of being given a plausible figure.

Its 262k token context window holds roughly 197,000 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 Mistral Large on a retrieval workload, cheaper and more expensive alike. Cost only; we publish no quality score.

ModelProviderInputOutputvs Mistral Large
GPT 5 MiniOpenAI$0.250$2.006% more
Gemini 3.1 Flash LiteGoogle$0.250$1.5017% less
DeepSeek FlashDeepSeek$0.300$1.2030% less
GPT 5.4 NanoOpenAI$0.200$1.2531% less

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. Mistral Large is a trademark of its owner; LLMPrice.io is independent and unaffiliated.