Mistral: Saba
Mistral Saba from MistralAI is designed for handling text and file inputs within a context length of 32,768 tokens. It supports various input modalities but lacks reasoning capabilities or structured output formats, making it more suitable for straightforward tasks that don't require complex analysis. Given its blended benchmark score of 8.7 across one independent assessment, Mistral Saba is competitive in performance. Considering its pricing at $0.2 per million input tokens and $0.6 per million output tokens, it may be a cost-effective choice for businesses looking to process substantial volumes of text and file data without the need for advanced reasoning or structured outputs.
Benchmark results
Independent, published benchmarks. Blended score 8.7 across 1 benchmark, last refreshed 2026-08-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 10.2 |
- Model ID
- mistralai/mistral-saba
- Vendor
- mistralai
- Released
- February 2025
- Tokenizer
- Mistral
- Input Modalities
- text, file
- Output Modalities
- text
- Max Output
- default
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.20/M input and $0.60/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.13 |
| A month of a busy support chatbot | 5M in / 2M out | $2.20 |
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Quick answers
- How much does Mistral: Saba cost?
- $0.20 per million input tokens and $0.60 per million output tokens.
- What is Mistral: Saba's context window?
- 32,768 tokens, roughly 49 pages of text in a single request.
- Does Mistral: Saba support tool calling?
- It supports tool calling, structured output.
- Can Mistral: Saba process images?
- No, it is text-only on the input side.