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CostPerPrompt

Saba API Pricing

Mistral · context window 33K · prices updated 2026-09-29

Input per 1M tokens
$0.2
Output per 1M tokens
$0.6
Cached input per 1M
$0.02
90% cheaper than fresh input

Where Saba sits on price

At $0.6 per million output tokens, Saba is a mid tier model — 3.7× cheaper than the median output price of $2.20, which puts it cheaper than 78% and pricier than 22% of the models we track. It sits 12th cheapest of the 25 Mistral models we track. Output is only 3.0× the input price, an unusually flat spread: long prompts hurt about as much as long answers, so prompt size is where the savings are.

Output tokens per $1
1,666,667
One full context fill
$0.0066
Cheaper than
78% of tracked models

Cached input is 90% cheaper. On an input-heavy workload you need roughly a 28% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Saba

These three workloads are the ones teams actually run on a mid-priced model — a $0.6/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0018 $27.60
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0009 $270
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0002 $5.70

Model your exact traffic in the API cost calculator — it preloads Saba with caching and batch options.

Saba price history

Saba's price has not moved since we began tracking it on Aug 2, 2026 — 58 days of stability in a market where 88 of the 353 models we track have repriced over the same period, including 7 of Mistral's own 25 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

Saba vs Qwen3 VL 30B A3B Instruct

The closest-priced alternative from another vendor is Qwen3 VL 30B A3B Instruct (Alibaba (Qwen)) — priced within a rounding error on output, with $0.05 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Qwen3 VL 30B A3B Instruct pricing →

Cheaper alternatives

More Mistral models

Frequently asked questions

› How much does the Saba API cost?

Saba costs $0.2 per million input tokens and $0.6 per million output tokens, with cached input at $0.02 per million (90% cheaper). That works out to roughly 1,666,667 output tokens per dollar.

› What does the support chatbot workload cost on Saba?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0018 per request and $27.60 per month on Saba. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill Saba's 33K context window?

Sending 33K of input in a single request costs $0.0066 at $0.2 per million tokens — before any output. With prompt caching that same fill drops to about $0.0007 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is Saba worth the price?

Saba sits in the middle of the market (12 of 25 by price within Mistral). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.