Mistral Small 3.1 24B Base vs Parse
Comparing Mistral Small 3.1 24B Base and Parse across benchmarks, pricing, and capabilities.
Mistral AI · Cohere · Updated for 2026
Which is better?
Mistral Small 3.1 24B Base and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
Mistral Small 3.1 24B Base also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Small 3.1 24B Base
- you process long inputs — it offers a 128,000 token context window
- 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
5 reported for Mistral Small 3.1 24B Base · 1 for Parse
Mistral Small 3.1 24B Base 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
Mistral Small 3.1 24B Base has 21.7B more parameters than Parse, making it 943.5% larger.
Context Window
Maximum input and output token capacity
Mistral Small 3.1 24B Base accepts 128,000 input tokens compared to Parse's 8,192 tokens. Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Mistral Small 3.1 24B Base and Parse support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Mistral Small 3.1 24B Base
Parse
License
Usage and distribution terms
Mistral Small 3.1 24B Base 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
Mistral Small 3.1 24B Base was released on 2025-03-17, while Parse was released on 2026-08-27.
Parse is 18 months newer than Mistral Small 3.1 24B Base.
Mar 17, 2025
1.5 years ago
Aug 27, 2026
4 days ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Small 3.1 24B Base is available from Mistral AI. Parse is available from Azure, Cohere.
Mistral Small 3.1 24B Base
Parse
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Small 3.1 24B Base and Parse side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Small 3.1 24B Base vs Parse.