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CostPerPrompt

Mistral Large 4 API Pricing

Mistral · context window 1M · prices updated 2026-10-23

Input per 1M tokens
$1.36
Output per 1M tokens
$4.18
Cached input per 1M
$0.14
90% cheaper than fresh input

Where Mistral Large 4 sits on price

At $4.18 per million output tokens, Mistral Large 4 is a mid tier model — 1.9× the median output price of $2.16, which puts it cheaper than 38% and pricier than 62% of the models we track. It sits 22th cheapest of the 26 Mistral models we track. Output costs 3.1× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
239,234
One full context fill
$1.43
Cheaper than
38% of tracked models

Cached input is 90% cheaper. On an input-heavy workload you need roughly a 28% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Mistral Large 4

These three workloads are the ones teams actually run on a mid-priced model — a $4.18/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0127 $190
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0062 $1851
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.3567 $2140

Model your exact traffic in the API cost calculator — it preloads Mistral Large 4 with caching and batch options.

Mistral Large 4 price history

Mistral last raised Mistral Large 4's output price on Oct 21, 2026 (+100% per output token), from $0.68/$2.09 to $1.36/$4.18 per 1M in/out. That is the only repricing in the 16 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Oct 7, 2026 (tracking began) $0.68 $2.09 —
Oct 21, 2026 $1.36 $4.18 +100%

Change-points from our daily price snapshots (tracking since Oct 7, 2026; intraday moves between snapshots are not captured).

Mistral Large 4 vs Gemini 3.8 Flash

The closest-priced alternative from another vendor is Gemini 3.8 Flash (Google) — priced within a rounding error on output, with $0.535 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Gemini 3.8 Flash pricing →

Cheaper alternatives

More Mistral models

Frequently asked questions

› How much does the Mistral Large 4 API cost?

Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens, with cached input at $0.14 per million (90% cheaper). That works out to roughly 239,234 output tokens per dollar.

› What does the support chatbot workload cost on Mistral Large 4?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0127 per request and $190 per month on Mistral Large 4. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill Mistral Large 4's 1M context window?

Sending 1M of input in a single request costs $1.43 at $1.36 per million tokens — before any output. With prompt caching that same fill drops to about $0.1468 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is Mistral Large 4 worth the price?

Mistral Large 4 sits in the middle of the market (22 of 26 by price within Mistral). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.