Skip to content
CostPerPrompt

Codestral 2508 (batch) API Pricing

Mistral · context window 256K · prices updated 2026-09-15

Input per 1M tokens
$0.15
Output per 1M tokens
$0.45
Cached input per 1M
$0.015
90% cheaper than fresh input

Where Codestral 2508 (batch) sits on price

At $0.45 per million output tokens, Codestral 2508 (batch) is a budget tier model — 4.6× cheaper than the median output price of $2.08, which puts it cheaper than 81% and pricier than 19% of the models we track. It sits 10th cheapest of the 25 Mistral models we track. Output is only 3.0× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.

Output tokens per $1
2,222,222
One full context fill
$0.0384
Cheaper than
81% 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 Codestral 2508 (batch)

These three workloads are the ones teams actually run on a budget-priced model — a $0.45/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. $0.0001 $414
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0001 $4.27
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0007 $203

Model your exact traffic in the API cost calculator — it preloads Codestral 2508 (batch) with caching and batch options.

Codestral 2508 (batch) price history

Mistral last cut Codestral 2508 (batch)'s output price on Sep 10, 2026 (-50% per output token), from $0.3/$0.9 to $0.15/$0.45 per 1M in/out. That is the only repricing in the 18 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Aug 28, 2026 (tracking began) $0.3 $0.9
Sep 10, 2026 $0.15 $0.45 -50%

Change-points from our daily price snapshots (tracking since Aug 28, 2026; intraday moves between snapshots are not captured).

Codestral 2508 (batch) vs Gemma 3 27B

The closest-priced alternative from another vendor is Gemma 3 27B (Google) — priced within a rounding error on output, with $0.07 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 Gemma 3 27B pricing →

Cheaper alternatives

More Mistral models

Frequently asked questions

How much does the Codestral 2508 (batch) API cost?

Codestral 2508 (batch) costs $0.15 per million input tokens and $0.45 per million output tokens, with cached input at $0.015 per million (90% cheaper). That works out to roughly 2,222,222 output tokens per dollar.

What does the high-volume classification workload cost on Codestral 2508 (batch)?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0.0001 per request and $414 per month on Codestral 2508 (batch). Short output, huge volume: the input price dominates the bill.

What does it cost to fill Codestral 2508 (batch)'s 256K context window?

Sending 256K of input in a single request costs $0.0384 at $0.15 per million tokens — before any output. With prompt caching that same fill drops to about $0.0038 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is Codestral 2508 (batch) worth the price?

Codestral 2508 (batch) is in the cheapest end of the market — cheaper than 81% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.