Saba
Mistral AI · released Feb 17, 2025
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...
Specification
- Context window
- 33K
- Max output
- —
- Knowledge cutoff
- Sep 30, 2024
- Parameters
- Undisclosed
- Licence
- Proprietary
- Serving providers
- 1
- Moderated
- No
Intelligence
6.2
20th percentile
Coding
—
Coding Index
Agentic
—
Agentic Index
Output speed
62 t/s
Median across providers
Latency
445ms
Time to first token
Cost per task
$0.03
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- MMLU-Pro61.1%
- GPQA Diamond42.4%
- SciCode24.1%
- AIME 202513.0%
- Humanity's Last Exam4.3%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| MMLU-Pro | 61.1% |
| GPQA Diamond | 42.4% |
| SciCode | 24.1% |
| AIME 2025 | 13.0% |
| Humanity's Last Exam | 4.3% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- GLM 4.5VZ.ai6.8
- GPT-4OpenAI6.8
- Gemini 2.5 Flash LiteGoogle6.7
- GPT-4o-miniOpenAI6.7
- GPT-4o-mini (2024-07-18)OpenAI6.7
- Granite 4.1 8BIBM Granite6.4
- SabaMistral AI6.2
- Olmo 3 32B ThinkAllen AI6.1
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| GLM 4.5V | 6.8 |
| GPT-4 | 6.8 |
| Gemini 2.5 Flash Lite | 6.7 |
| GPT-4o-mini | 6.7 |
| GPT-4o-mini (2024-07-18) | 6.7 |
| Granite 4.1 8B | 6.4 |
| Saba | 6.2 |
| Olmo 3 32B Think | 6.1 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- $0.2
- Output / 1M tokens
- $0.6
- Cached input / 1M
- $0.02
- Blended 3:1
- $0.3
One task, estimated
$0.03
- Input tokens
- 50,000
- Output tokens
- 25,000
- Profile
- Standard
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.