Magistral Medium 1.2 Intelligence, Performance & Price Analysis
Model summary
Speed
Verbosity
Magistral Medium 1.2 is below average in intelligence when comparing to other models. The model supports text and image input, outputs text, and has a 128k tokens context window.
Magistral Medium 1.2 scores 12 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (median: 12).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text and image |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
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
Speed
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Task
Evaluations
Agentic knowledge work, Elo
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic real-world work tasks, Elo
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
Coding
Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Agentic interactive 3D experiences, Elo
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual reasoning
Rich, varied, well-crafted language
Well-structured, scannable, answer-first
Truthful, acknowledges uncertainty, non-sycophantic
Use of filler and generic language
AA-Omniscience
AA-Omniscience Index
Intelligence Index Comparisons
Intelligence Index vs. Cost per Task
Cost
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window
Context Window
Frequently Asked Questions
Common questions about Magistral Medium 1.2
Magistral Medium 1.2 was released on September 18, 2025.
Magistral Medium 1.2 was created by Mistral.
Magistral Medium 1.2 scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it below average among other models (median: 12).
Yes, Magistral Medium 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 Medium 1.2 supports text and image input.
Magistral Medium 1.2 supports text output.
Yes, Magistral Medium 1.2 supports image input and can analyze, describe, and answer questions about images.
Yes, Magistral Medium 1.2 is multimodal. It can process text and image input and generate text output.
Magistral Medium 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.
No, Magistral Medium 1.2 is proprietary. The model weights are not publicly available.
Magistral Medium 1.2 is a proprietary model and Mistral has not disclosed the model size or parameter count.
Magistral Medium 1.2 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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