Mistral has launched a newer model, Mistral Small (Sep), we suggest considering this model instead.
For more information, see Comparison of Mistral Small (Sep) to other models and API provider benchmarks for Mistral Small (Sep).
Mistral Small (Feb '24) 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: This information is still being updated |
| Output modality | This information is still being updated |
| Context window | 33k ~49 A4 pages of size 12 Arial font |
Mistral Small (Feb '24) is among the least intelligent models, but well priced when comparing to other non-reasoning models of similar price. It's also notably fast and highly concise. The model has a 33k tokens context window.
Mistral Small (Feb '24) scores 9 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 22). When evaluating the Intelligence Index, it generated 630k tokens, which is very concise in comparison to the average of 3.9M.
Pricing for Mistral Small (Feb '24) is $1.00 per 1M input tokens (competitively priced, average: $2.00) and $3.00 per 1M output tokens (competitively priced, average: $8.00). In total, it cost $3.31 to evaluate Mistral Small (Feb '24) on the Intelligence Index.
At 131 tokens per second, Mistral Small (Feb '24) is notably fast (59).
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 Small (Feb '24) 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 Small (Feb '24)
Mistral Small (Feb '24) was released on February 26, 2024.
Mistral Small (Feb '24) was created by Mistral.
Mistral Small (Feb '24) scores 9 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other non-reasoning models in a similar price tier (median: 22).
Mistral Small (Feb '24) generates output at 130.9 tokens per second (based on Mistral's API), which is well above average compared to other non-reasoning models in a similar price tier (median: 58.8 t/s).
Mistral Small (Feb '24) has a time to first token (TTFT) of 0.63s (based on Mistral's API), which is very competitive compared to other non-reasoning models in a similar price tier (median: 1.48s).
Mistral Small (Feb '24) costs $1.00 per 1M input tokens (very competitive, median: $2.00) and $3.00 per 1M output tokens (very competitive, median: $8.00), based on Mistral's API.
Mistral Small (Feb '24) costs $1.00 per 1M input tokens and $3.00 per 1M output tokens (based on Mistral's API). For a blended rate (3:1 input to output ratio), this is $1.50 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Mistral Small (Feb '24) generated 630k output tokens, which is very competitive compared to other non-reasoning models in a similar price tier (median: 3.9M).
No, Mistral Small (Feb '24) is not a reasoning model. It provides direct responses without extended chain-of-thought reasoning.
Mistral Small (Feb '24) supports text only input.
Mistral Small (Feb '24) supports text only output.
No, Mistral Small (Feb '24) does not support image input. It can only process text.
No, Mistral Small (Feb '24) is not multimodal. It only supports text only input.
Mistral Small (Feb '24) has a context window of 33k tokens. This determines how much text and conversation history the model can process in a single request.
No, Mistral Small (Feb '24) is proprietary. The model weights are not publicly available.
Mistral Small (Feb '24) is a proprietary model and Mistral has not disclosed the model size or parameter count.
Mistral Small (Feb '24) achieves a score of 9 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Mistral Small (Feb '24) is available via API through 1 provider. Compare API providers
Mistral Small (Feb '24) is available through 1 API provider. Compare providers