Mistral Small 4 API pricing per million tokens
Mistral Small 4 costs $0.15 per million input tokens and $0.60 per million output, with a 256K context window. Vibe has a free plan and paid plans from $14.99/mo (Pro); the plan list does not name Mistral Small 4.
AIGROW credit covers Claude Opus 5.5, Claude Fable 5.2, Claude Fable 5.1, GPT-6 Astra, Claude Sonnet 5.5, GPT-6.1 Sol, GPT-6.1 Terra, Grok 4.7 and Gemini 4 Argon. See API credit
$25 a month brings $110 of API credit and cancels any time; $25 once buys $100. US dollars per million tokens, standard rate, shortest context band. Plan prices read 22 October 2026.
- 1,000 support replies
- $0.69
- Cached input
- $0.015
- Context window
- 256,000 tokens
- Released
- 16 Mar 2026
- Weights
- Open weights
From Mistral’s own pages, 12 November 2026.
Mistral Small 4 costs $0.15 per million input tokens and $0.60 per million output tokens on Mistral’s own API, and $0.015 for cached input. At those prices 1,000 support replies cost $0.69, the 7th cheapest of 49 priced models on our list.
AIGROW API credit per million input / output tokens: Claude Opus 5.5 $1.60 / $8.00, Claude Fable 5.2 $3.20 / $16.00, Claude Fable 5.1 $4.00 / $20.00, GPT-6 Astra $2.50 / $12.50, Claude Sonnet 5.5 $0.80 / $4.00, GPT-6.1 Sol $0.50 / $2.50, GPT-6.1 Terra $0.25 / $1.25, Grok 4.7 $0.50 / $1.50 and Gemini 4 Argon $1.00 / $5.00. That is up to 75% below list price. See API credit
What a job costs
Three jobs, 1,000 runs of each, at the list price above, and where each puts Mistral Small 4 among the 49 models with a list price.
| Job | 1,000 runs | Among 49 |
|---|---|---|
| Support reply3,000 in, 400 out. | $0.69 | 7th cheapest |
| Document summary25,000 in, 1,000 out. | $4.35 | 6th cheapest |
| Agent task80,000 in (70,000 cached), 3,000 out. | $4.35 | 5th cheapest |
The token counts are ours, chosen to look like real work; the prices are Mistral’s. All three jobs stay under 100,000 tokens a request, below every long-context surcharge on the list.
Mistral Small 4 on real small-business tasks
What the AIGROW benchmark measured when Mistral Small 4 was given 20 office tasks, each marked pass or fail by fixed checks.
- Success rate
- 20% of 20 runs passed (95% interval 8 to 42%), 35th of 36 models.
- Cost per 1,000 passes
- $1.33, failed runs included.
- Answer time
- 2.0 s median, 20 s at the 90th percentile.
- Strongest and weakest
- Request routing (100% passed) and review replies (0%).
The small print
What the base rate above leaves out, copied from the maker’s pages: surcharges, discounts, promotions and cache pricing.
Mistral Small 4. 119B total, 6.5B active parameters, Apache 2.0. Batch 50% off.
Mistral Small 4 against the models it is weighed with
Each comparison puts both list prices side by side and costs the same three jobs on each.
- vs GPT-5.6 Luna
- Mistral's open-weight small model against OpenAI's GPT-5.6 nano tier, both near the bottom of the price range.
Other Mistral models
| Model | Input | Output | Context | 1,000 replies |
|---|---|---|---|---|
| Ministral 3 14BMistral · open weights | $0.20 | $0.20 | 256K | $0.68 |
| Mistral Large 4Mistral · open weights | $0.70 | $2.10 | 1M | $2.94 |
| Mistral Medium 3.5Mistral · open weightsNewer model: Mistral Large 4 | $1.50 | $7.50 | 256K | $7.50 |
Where the price comes from
Read on 12 November 2026. Each price is the standard rate for the shortest context band, with no batch or priority discount; long-context surcharges, batch rates and promotions are in each model’s small print. No price was taken from a reseller.
Compare Mistral Small 4 with 53 other models
The price list sets every model’s input and output price side by side, with what a support reply, a document summary and an agent task cost on each.
Prices checked 12 November 2026 · See them by release date