Magistral Medium vs Parse
Comparing Magistral Medium and Parse across benchmarks, pricing, and capabilities.
Mistral AI · Cohere · Updated for 2026
Which is better?
Magistral Medium and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Magistral Medium
- you need open weights you can self-host or fine-tune
Choose Parse
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Magistral Medium · 1 for Parse
Magistral Medium and Parsedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Magistral Medium has 21.7B more parameters than Parse, making it 943.5% larger.
Context Window
Maximum input and output token capacity
Only Parse specifies input context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Both Magistral Medium and Parse support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Magistral Medium
Parse
License
Usage and distribution terms
Magistral Medium is licensed under Apache 2.0, while Parse uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Magistral Medium was released on 2025-06-10, while Parse was released on 2026-08-27.
Parse is 15 months newer than Magistral Medium.
Jun 10, 2025
1.3 years ago
Aug 27, 2026
3 weeks ago
1.2yr newerKnowledge Cutoff
When training data ends
Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Parse's cutoff date is not specified.
We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without Parse's cutoff date.
Jun 2025
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Outputs Comparison
Judge for yourself.
Run your own prompts against Magistral Medium and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about Magistral Medium vs Parse.