Magistral Medium 1.2 Intelligence, Performance & Price Analysis
Model summary
Intelligence
Speed
Input Price
USD per 1M tokens
Cache: $2.00 (-0%)
Output Price
Verbosity
Magistral Medium 1.2 is below average in intelligence and somewhat expensive when comparing to other models of similar price. It's also notably slow and somewhat verbose. The model supports text and image input, outputs text, and has a 128k tokens context window.
Magistral Medium 1.2 scores 27 on the Artificial Analysis Intelligence Index, placing it below average among comparable models (averaging 36). When evaluating the Intelligence Index, it generated 43M tokens, which is somewhat verbose in comparison to the average of 36M.
Pricing for Magistral Medium 1.2 is $2.00 per 1M input tokens (somewhat expensive, average: $1.67) and $5.00 per 1M output tokens (moderately priced, average: $8.00). In total, it cost $387.10 to evaluate Magistral Medium 1.2 on the Intelligence Index.
At 39 tokens per second, Magistral Medium 1.2 is notably slow (61).
| 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 |
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
Highlights
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (ELO-500)/2000
Agentic coding & terminal use
Agentic tool use
Long context reasoning
Knowledge
1 - hallucination rate
Reasoning & knowledge
Scientific reasoning
Coding
Instruction following
Physics reasoning
Long-horizon agentic tasks
Visual reasoning
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
PricingPricing now includes “Cache Hit Price” with new blend ratios.
Pricing: Cache Hit, Input, and Output
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 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 27 on the Artificial Analysis Intelligence Index, placing it below average among other reasoning models in a similar price tier (median: 36).
Magistral Medium 1.2 generates output at 39.2 tokens per second (based on Mistral's API), which is at the lower end compared to other reasoning models in a similar price tier (median: 61.4 t/s).
Magistral Medium 1.2 has a time to first token (TTFT) of 1.73s (based on Mistral's API), which is better than average compared to other reasoning models in a similar price tier (median: 2.66s).
Magistral Medium 1.2 costs $2.00 per 1M input tokens (somewhat higher than average, median: $1.67) and $5.00 per 1M output tokens (better than average, median: $8.00), based on Mistral's API.
Magistral Medium 1.2 costs $2.00 per 1M input tokens and $5.00 per 1M output tokens (based on Mistral's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $2.30 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, Magistral Medium 1.2 generated 43M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 36M).
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 27 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
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