Mistral has launched a newer model, Mistral Small 3.2, we suggest considering this model instead.
For more information, see Comparison of Mistral Small 3.2 to other models and API provider benchmarks for Mistral Small 3.2.
Mistral Saba Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | No This page shows the non-reasoning version of this model. A reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 32k ~48 A4 pages of size 12 Arial font |
Mistral Saba is above average in intelligence and well priced when comparing to other non-reasoning models of similar price. The model supports text input, outputs text, and has a 32k tokens context window.
Mistral Saba scores 12 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 11). When evaluating the Intelligence Index, it generated 1.3M tokens, which is very concise in comparison to the average of 3.1M.
Pricing for Mistral Saba is $0.00 per 1M input tokens (competitively priced, average: $0.00) and $0.00 per 1M output tokens (competitively priced, average: $0.00). In total, it cost $0.00 to evaluate Mistral Saba on the Intelligence Index.
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of Mistral Saba API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about Mistral Saba
Mistral Saba was released on February 17, 2025.
Mistral Saba was created by Mistral.
Mistral Saba scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it above average among other non-reasoning models in a similar price tier (median: 11).
When evaluated on the Intelligence Index, Mistral Saba generated 1.3M output tokens, which is very competitive compared to other non-reasoning models in a similar price tier (median: 3.1M).
No, Mistral Saba is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral Saba supports text input.
Mistral Saba supports text output.
No, Mistral Saba does not support image input. It can only process text.
No, Mistral Saba is not multimodal. It only supports text input.
Mistral Saba has a context window of 32k tokens. This determines how much text and conversation history the model can process in a single request.
No, Mistral Saba is proprietary. The model weights are not publicly available.
Mistral Saba has 24 billion parameters.
Mistral Saba achieves a score of 12 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
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