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Mistral: Saba API Pricing

Mistral: Saba costs $0.200 per 1M input tokens and $0.600 per 1M output tokens (cache reads: $0.020). Context window: 33K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
6.5
Intelligence index · top 95% of 288 scored
$0.3
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.200
Output / 1M tokens
$0.600
Context window
33K
Max output
26K

Token economics

Token typePricevs base input
Standard input$0.200—
Cache read$0.020−90%
Output$0.600—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Knowledge cutoff
2024-09-30

Training data ends here — newer events require retrieval or web search.

What would Mistral: Saba cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$4.00
Coding agent5,0008,000 / 2,000$14.00
RAG pipeline30,0004,000 / 500$33.00
Doc summarizer2,00020,000 / 1,000$9.20

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Mistral: Saba

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...

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Frequently asked questions

How much does Mistral: Saba cost?

Mistral: Saba costs $0.200 per 1M input tokens and $0.600 per 1M output tokens; cached input tokens cost $0.020 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

33K tokens, with up to 26K output tokens per response. That's roughly 41 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.020/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 91% on a typical workload with comparable quality.

Official resources