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Price your own workload on this model

A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.

Mistral Large 4 API pricing (October 2026)

Prices verified 12 Oct 2026

Public preview at a sale price; list price is $1.36 in / $4.18 out (cached $0.14). Mistral publishes no end date for the sale.

Input
$0.680
per 1M tokens
Output
$2.09
per 1M tokens
Cached input
$0.070
per 1M tokens
Batch discount
50% off
async batch endpoint

What it costs at real volumes

A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.

VolumePer requestPer monthPer year
10K requests/day$0.00117$356.45$4,277.43Adjust →
100K requests/day$0.00117$3,564.52$42.8KAdjust →
1M requests/day$0.00117$35.6K$427.7KAdjust →

Specifications

Provider
Mistral AI
Context window
1.0M tokens
Max output
1.0M tokens
Tier
frontier
Status
PREVIEW
Blended $/1M (3:1)
$1.03
Cache break-even hit rate
0%, caching always saves
Prices verified
12 Oct 2026

Source: Mistral AI pricing. Finitizer is not affiliated with Mistral AI.

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Frequently asked questions

How much does Mistral Large 4 cost per 1M tokens?

Mistral Large 4 costs $0.680 per million input tokens and $2.09 per million output tokens at Mistral AI list prices. Output is 3.1x the input rate, so the input:output ratio of your workload drives the real cost more than the headline price.

Does Mistral Large 4 support prompt caching?

Yes. Cached input is billed at $0.070 per million tokens, 10x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.

What is the batch discount for Mistral Large 4?

Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.340 and output to $1.05 per million tokens.

What is Mistral Large 4's context window?

1.0M tokens of context with up to 1.0M output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.

Running Mistral Large 4 in production?

Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.

See how Finitizer works