Mistral: Saba

Public pricingIntelligence 79/100Medium memory工具调用

Mistral: Saba 是一款文本模型,适合通用对话、分析与生产场景。它结合了低延迟与高效推理、33K tokens上下文和低成本定位,可在general chat, analysis, and production workloads中提供可靠表现。它适合重视延迟、成本与吞吐的团队,能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.20/1M

Output

$0.60/1M

Cached

$0.02/1M

Batch

$0.10/1M

Calculate your Saba bill.

Set your workload — see cost at your exact volume.

What would Saba cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Saba at a glance.

Memory

32,768

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Feb 2025

Training cutoff

Oct 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Saba

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

FAQ

Saba — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Saba costs roughly $39 per month. Input is $0.20 /1M tokens and output is $0.60 /1M tokens.
Saba has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Beyond text generation, Saba supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Saba was released in February 2025, with training data cut off around October 2024.
Models in a similar class include Ministral 3 14B 2512, Ministral 3 8B 2512, Mistral Small 4. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Saba against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.