Provider pricing

Mistral pricing: API cost per model, user, and month

Last updated July 9, 2026 · ByteCosts

Mistral lists 28 priced models in the ByteCosts index, with Ministral 3B (latest) at about $0.040 per million tokens on ByteCosts' 70% input / 30% output blend. For most AI apps the bill is driven by output tokens, retry rate, and prompt-cache hit rate far more than the headline input price, so Mistral is cost-effective when your workload is input-heavy (RAG, classification) or can cache a large shared prefix. Compare Mistral against alternatives on a real workload - seats, requests, and token mix - before committing to a model or a subscription, because a cheaper per-token price can still lose once power users and long outputs are priced in.

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Mistral pricing at a glance

Cheapest tracked chat model: Ministral 3B (latest) at $0.040 per 1M tokens (blended)
Flagship: Mistral Medium 3.5 at $3.30 per 1M tokens (blended)
28 priced models in the index, updated July 9, 2026

Mistral model prices

Per-million-token list prices for current Mistral models, from the ByteCosts pricing index. Output tokens usually cost several times more than input.

Mistral model prices per million tokens
Model	Input	Output	Context	Intelligence
Mistral Medium 3.5	$1.50	$7.50	262K	29.9
Mistral Small 4	$0.150	$0.600	256K	19.6
Devstral 2	$0.400	$2.00	262K	19.2
Devstral 2	$0.400	$2.00	262K	19.2
Devstral 2 (latest)	$0.400	$2.00	262K	19.2
Mistral Large 3	$0.500	$1.50	262K	15.9
Mistral Medium 3.1	$0.400	$2.00	262K	14.7
Mistral Medium 3	$0.400	$2.00	131K	12.5
Devstral Medium	$0.400	$2.00	128K	12.4
Devstral Small	$0.100	$0.300	128K	11.8
Mistral Small 3.2	$0.100	$0.300	128K	10.6
Pixtral Large (latest)	$2.00	$6.00	128K	8.1

When Mistral is cost-effective

Token price alone does not decide cost. The variables that actually move an AI bill are: how many output tokens each call emits (output is the expensive side), how often calls retry, what fraction of the input prefix can be served from prompt cache, and how heavily your top 1% of users use the product.

Mistral tends to win when your workload is input-heavy with short outputs, when you can cache a large shared system prompt or document context, or when a smaller Mistral model clears your quality bar. It tends to lose when outputs are long and uncached, where a cheaper-per-output model compounds the saving across millions of calls.

Hidden costs to watch with Mistral

List pricing rarely equals your invoice. Budget for these before you commit:

Output-token blow-up: reasoning and verbose responses multiply the most expensive token class.
Retries and tool loops: a single failed agent step can re-send the whole context.
Cache misses: prompt caching only saves money above a break-even reuse count; cold prefixes pay the write premium.
Power users: a small share of heavy users can dominate spend and erase a plan's margin.
Egress and gateway fees: LLM gateways and observability add a percentage on top of raw model cost.

Limitations before production billing decisions

Treat ByteCosts calculations as planning estimates, not final billing totals. Real invoices can differ because token mix, retry rate, cache hit rate, rate limits, taxes, gateway fees, regional pricing, and negotiated discounts change the effective cost.

Verify the provider source before production billing decisions, then compare the estimate with your own logs or invoice once production traffic is live.

Frequently asked questions

How much does Mistral cost per million tokens?

Mistral's low-cost tracked chat row is Ministral 3B (latest) at about $0.040 per million tokens on ByteCosts' 70% input / 30% output blend. That same model's component rates are $0.040 input and $0.040 output; flagship models cost more. See the price table above for current per-model rates.

Is Mistral cheaper than the alternatives?

It depends on the workload. Mistral can be cheaper for input-heavy or cacheable workloads even when its headline price is higher, because output volume and cache hit rate move the bill more than the per-token rate. Use the ByteCosts calculators to compare on your real traffic.

Where does ByteCosts get Mistral prices?

Prices come from Mistral's official pricing/docs pages, normalized into the ByteCosts pricing index and dated. Each record carries a confidence grade and a source link. Prices are list prices and exclude negotiated or volume discounts. Verify the provider source before production billing decisions.

Mistral pricing. ByteCosts. Updated July 9, 2026. https://bytecosts.com/pricing/mistral/