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Mistral Models

10 modelsGeneral models from $0.50/M inputUp to 256K context

Usage

Last 27 days · 2026-07-13 to 2026-08-11

Tokens

72M

Requests

10.6K

Models in use

1 of 10

Tokens per day

014.7M29.4M07-1307-2207-2908-062026-07-13 — 6,512,755 tokens2026-07-15 — 200 tokens2026-07-16 — 51,415 tokens2026-07-18 — 3,350 tokens2026-07-19 — 192,220 tokens2026-07-20 — 29,406,590 tokens2026-07-21 — 25,990 tokens2026-07-22 — 285,030 tokens2026-07-23 — 2,065,145 tokens2026-07-24 — 600,660 tokens2026-07-25 — 353,065 tokens2026-07-26 — 2,745 tokens2026-07-27 — 1,815 tokens2026-07-28 — 15,471,525 tokens2026-07-29 — 0 tokens2026-07-30 — 445,575 tokens2026-07-31 — 75 tokens2026-08-01 — 937,835 tokens2026-08-03 — 3,355 tokens2026-08-04 — 18,505 tokens2026-08-05 — 9,315 tokens2026-08-06 — 0 tokens2026-08-07 — 6,030,755 tokens2026-08-08 — 4,739,780 tokens2026-08-09 — 892,830 tokens2026-08-10 — 847,375 tokens2026-08-11 — 3,104,890 tokens

Which models that traffic went to

  1. mistral-large-3100.0%72M

Share of 72M tokens.

The two views disagree on purpose: a model can take a large share of the calls and a small share of the tokens — many short requests — or the reverse. Which one matters depends on whether your cost is driven by call volume or by prompt length. Measured on AIHubMix over the last 27 days, counting the 10 model IDs listed on this page; traffic routed through upstream-specific IDs that are not in the public catalog is not included.

All 10 Mistral Models

Open in model list
Mistral models on AIHubMix with input and output modalities, context length, maximum output, price per million tokens including cache read and cache write rates, and measured throughput and latency.
Modalities
mistral-large-3Takes text, vision, returns text.256K$0.50$1.50/M25 tok/s16.56 s
mistralai/mistral-7b-instruct:free—$0.002$0.002/M——
chutesai/Mistral-Small-3.1-24B-Instruct-2503—$0.20$0.80/M——
aihubmix-Codestral-2501—$0.40$1.20/M——
AiHubmix-mistral-medium—$0.40$2.00/M——
codestral-latest—$0.40$1.20/M——
aihubmix-Mistral-Large-2411—$2.00$6.00/M——
aihubmix-Mistral-large-2407—$3.00$9.00/M——
Mistral-large-2407—$3.00$9.00/M——
aihubmix-Mistral-large—$4.00$12.00/M——

Prices are USD per million tokens; cache read and cache write are the rates for prompt-cache hits and for writing a prompt into the cache. Throughput and latency are measured on AIHubMix — the same figures the model detail page shows — not vendor claims. A dash means the catalog does not publish that field for that model, which is not the same as the model not supporting it.

Mistral on AIHubMix

Which Mistral model should I start with?

mistral-large-3 at $0.50/M input — the cheapest entry here that declares tool calling, and it carries a 256K context. Move up to aihubmix-Mistral-large when answer quality matters more than cost.

Why are there several entries for the same model?

Because each row is a route you can call, not a model release. Some IDs name an upstream (azure-, alicloud-, cc-), some are the open-weight repository form (chutesai/…), and some differ only in capitalisation, kept so older integrations keep working.

The catalog does not carry a field saying which of those a given row is, so this page does not sort them into buckets it would have to invent. Every row shows that route’s own price, context and speed — compare those directly, and open a model to see the upstreams that serve it.

Do I need a separate Mistral account?

No. One AIHubMix key covers every model on this page, and switching between them is a change to the model string — billing, rate limits, and logs stay in one place.

Other Providers

Qwen
140 modelsOpenAI
132 modelsGoogle
81 modelsZ.AI
64 modelsLlama
52 models

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