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Mistral Small vs Parse

Comparing Mistral Small and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

Mistral Small and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Mistral Small also accepts a larger context window (32,768 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

  • you process long inputs — it offers a 32,768 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.

Benchmark wins
Input price
$0.20 / M
— / M
Output price
$0.60 / M
— / M
Context window
32,768
8,192

Individual benchmarks

0 reported for Mistral Small · 1 for Parse

No common benchmarks found

Mistral Small 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

19.7B diff

Mistral Small has 19.7B more parameters than Parse, making it 856.5% larger.

Mistral AI
Mistral Small
22.0Bparameters
Cohere
Parse
2.3Bparameters
22.0B
Mistral Small
2.3B
Parse

Context Window

Maximum input and output token capacity

Mistral Small accepts 32,768 input tokens compared to Parse's 8,192 tokens. Only Mistral Small specifies output context (32,768 tokens).

Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Parse supports multimodal inputs, whereas Mistral Small does not.

Parse can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Small

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small is licensed under Mistral Research License, while Parse uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Small

Mistral Research License

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small was released on 2024-09-17, while Parse was released on 2026-08-27.

Parse is 24 months newer than Mistral Small.

Mistral Small

Sep 17, 2024

2.0 years ago

Parse

Aug 27, 2026

4 days ago

1.9yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mistral Small is available from Mistral AI. Parse is available from Azure, Cohere.

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Parse

azure logo
Azure
cohere logo
Cohere
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Mistral Small and Parse side-by-side, then vote on the output you prefer.

Mistral Small
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Mistral Small vs Parse.

Which is better, Mistral Small or Parse?

Mistral Small (Mistral AI) and Parse (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral Small compare to Parse in benchmarks?

Parse scores ParseBench: 79.2%.

What are the context window sizes for Mistral Small and Parse?

Mistral Small supports 33K tokens and Parse supports 8K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small and Parse?

Key differences include context window (33K vs 8K), multimodal support (no vs yes), licensing (Mistral Research License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small and Parse?

Mistral Small is developed by Mistral AI and Parse is developed by Cohere.