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Mistral Medium 3.5 vs Mistral Large 4 pricing

Side-by-side LLM API pricing.Mistral Large 4 is cheaper on input ($0.70 vs $1.50 /1M), and Mistral Large 4 is cheaper on output ($2.10 vs $7.50 /1M). On a blended average, Mistral Large 4 is lower — but which wins for you depends on your input/output mix, so check the example workloads below or run the calculator.

AttributeMistral Medium 3.5Mistral Large 4
ProviderMistralMistral
TierFlagshipMid-range
StatusLegacyPreview
Context window256K1M
Input /1M$1.50$0.70
Output /1M$7.50$2.10
Cached input /1M$0.15$0.07
Batch input /1M$0.75$0.35
Batch output /1M$3.75$1.05
Blended (avg in+out)$4.50$1.40
1M in + 1M out$9.00$2.80
1M in (90% cached) + 100K out$1.04$0.3430

List prices, USD, directional. Rates are provider list prices per 1M tokens and are meant for comparison, not billing. Batch rates shown as 50% off are derived where a provider offers batch but does not publish a separate figure. Preview, promo, intro, peak/off-peak, long-context, and third-party-host prices are labeled where they apply. Token counts vary by tokenizer, so per-token price is not always a like-for-like cost. Always confirm with the provider before relying on a number. Prices as of 2026-09-29.

Which should you pick?

For a balanced job (1M input + 1M output), Mistral Large 4 costs $2.80 versus $9.00. If your prompts are large and reused, prompt caching changes the maths — the cache-heavy row above shows a 90%-cached input scenario. If your work can run asynchronously, both providers' batch rates cut the bill further where offered.

Full price matrices: Mistral Medium 3.5 pricing → · Mistral Large 4 pricing → · Back to the LLM pricing hub →