Magistral Small 1.2 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 | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text, image |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 24B |
| License | Apache 2.0 |
| Model weights | Hugging Face |
Magistral Small 1.2 is above average in intelligence, but particularly expensive when comparing to other open weight models of similar size. It's also faster than average, however somewhat verbose. The model supports text and image input, outputs text, and has a 128k tokens context window.
Magistral Small 1.2 scores 18 on the Artificial Analysis Intelligence Index, placing it above average among comparable models (averaging 15). When evaluating the Intelligence Index, it generated 29M tokens, which is somewhat verbose in comparison to the average of 20M.
Pricing for Magistral Small 1.2 is $0.50 per 1M input tokens (expensive, average: $0.06) and $1.50 per 1M output tokens (expensive, average: $0.20). In total, it cost $89.83 to evaluate Magistral Small 1.2 on the Intelligence Index.
At 129 tokens per second, Magistral Small 1.2 is faster than average (106).
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 Magistral Small 1.2 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 Magistral Small 1.2
Magistral Small 1.2 was released on September 17, 2025.
Magistral Small 1.2 was created by Mistral.
Magistral Small 1.2 scores 18 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 15).
Magistral Small 1.2 generates output at 129.3 tokens per second (based on Mistral's API), which is above average compared to other open weight models of similar size (median: 106.1 t/s).
Magistral Small 1.2 has a time to first token (TTFT) of 0.82s (based on Mistral's API), which is better than average compared to other open weight models of similar size (median: 1.37s).
Magistral Small 1.2 costs $0.50 per 1M input tokens (at the higher end, median: $0.20) and $1.50 per 1M output tokens (somewhat higher than average, median: $0.60), based on Mistral's API.
Magistral Small 1.2 costs $0.50 per 1M input tokens and $1.50 per 1M output tokens (based on Mistral's API). For a blended rate (3:1 input to output ratio), this is $0.75 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Magistral Small 1.2 generated 29M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 20M).
Yes, Magistral Small 1.2 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
Magistral Small 1.2 supports text and image input.
Magistral Small 1.2 supports text output.
Yes, Magistral Small 1.2 supports image input and can analyze, describe, and answer questions about images.
Yes, Magistral Small 1.2 is multimodal. It can process text and image input and generate text output.
Magistral Small 1.2 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, Magistral Small 1.2 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Magistral Small 1.2 has 24 billion parameters.
Magistral Small 1.2 is released under the Apache 2.0 license. This license allows commercial use. View license
Magistral Small 1.2 achieves a score of 18 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, Magistral Small 1.2 is available via API through 2 providers. Compare API providers
Magistral Small 1.2 is available through 2 API providers. Compare providers