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MistralReleased September 17, 2025

Magistral Small 1.2

Mistral · Released September 17, 2025

Intelligence score

11

At a glance

Intelligence
11
Speed
80.1tokens/sec
Latency
990mstime to first token
Input price
$0.50per 1M tokens
Output price
$1.50per 1M tokens
Context window
130Ktokens
Parameters
24billions

Summary

Comparison summary

Magistral Small 1.2 scores 11 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9). Magistral Small 1.2 generates output at 80.1 tokens per second (based on Mistral's API), which is below average compared to other open weight models of similar size (median: 101.0 t/s). Magistral Small 1.2 costs $0.50 per 1M input tokens (at the higher end, median: $0.18) and $1.50 per 1M output tokens (somewhat higher than average, median: $0.40), based on Mistral's API.

Specifications

Technical specifications

Model nameMagistral Small 1.2
ProviderMistral
Release dateSeptember 17, 2025
Intelligence score11
Speed80.1 tokens/sec
Latency (TTFT)0.99s
Input price$0.50 / 1M tokens
Output price$1.50 / 1M tokens
Context window130,000 tokens
Parameters24B
ReasoningYes
Input modalitiestext, image
Output modalities—
Open weightsYes
LicenseApache 2
API availability—
SourceModel Intelligence legacy profile: magistral-small-2509

Pricing

Token prices

Price per 1M tokens

Magistral Small 1.2, as listed in the catalog record

Input $0.50 and output $1.50 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.50
  2. Output$1.50

Model Intelligence legacy profile: magistral-small-2509

FAQ · 20

Frequently asked questions

Magistral Small 1.2 was released on September 17, 2025.

Magistral Small 1.2 was created by Mistral.

Magistral Small 1.2 scores 11 on the Artificial Analysis Intelligence Index, placing it above average among other open weight models of similar size (median: 9).

Magistral Small 1.2 generates output at 80.1 tokens per second (based on Mistral's API), which is below average compared to other open weight models of similar size (median: 101.0 t/s).

Magistral Small 1.2 has a time to first token (TTFT) of 0.99s (based on Mistral's API), which is better than average compared to other open weight models of similar size (median: 2.09s).

Magistral Small 1.2 costs $0.50 per 1M input tokens (at the higher end, median: $0.18) and $1.50 per 1M output tokens (somewhat higher than average, median: $0.40), 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 (7:2:1 cache hit/input/output ratio), this is $0.60 per 1M tokens. Pricing may vary by provider.

When evaluated on the Intelligence Index, Magistral Small 1.2 generated 32M output tokens, which is better than average compared to other open weight models of similar size (median: 32M).

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.

Magistral Small 1.2 achieves a score of 11 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.

Magistral Small 1.2 is available through 2 API providers.