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Min istral 3 (3B Reasoning 2512) vs Parse

Comparing Min istral 3 (3B Reasoning 2512) and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

Min istral 3 (3B Reasoning 2512) and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Min istral 3 (3B Reasoning 2512) also accepts a larger context window (131,100 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 Min istral 3 (3B Reasoning 2512)

  • you process long inputs — it offers a 131,100 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.

Min istral 3 (3B Reasoning 2512)
Mistral AI
Parse
Cohere
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.10 / M
— / M
Context window
131,100
8,192

Individual benchmarks

4 reported for Min istral 3 (3B Reasoning 2512) · 1 for Parse

No common benchmarks found

Min istral 3 (3B Reasoning 2512) 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

700.0M diff

Min istral 3 (3B Reasoning 2512) has 0.7B more parameters than Parse, making it 30.4% larger.

Mistral AI
Min istral 3 (3B Reasoning 2512)
3.0Bparameters
Cohere
Parse
2.3Bparameters
3.0B
Min istral 3 (3B Reasoning 2512)
2.3B
Parse

Context Window

Maximum input and output token capacity

Min istral 3 (3B Reasoning 2512) accepts 131,100 input tokens compared to Parse's 8,192 tokens. Only Min istral 3 (3B Reasoning 2512) specifies output context (131,100 tokens).

Mistral AI
Min istral 3 (3B Reasoning 2512)
Input131,100 tokens
Output131,100 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Min istral 3 (3B Reasoning 2512) and Parse support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Min istral 3 (3B Reasoning 2512)

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Min istral 3 (3B Reasoning 2512) 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.

Min istral 3 (3B Reasoning 2512)

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Min istral 3 (3B Reasoning 2512) was released on 2025-12-04, while Parse was released on 2026-08-27.

Parse is 9 months newer than Min istral 3 (3B Reasoning 2512).

Min istral 3 (3B Reasoning 2512)

Dec 4, 2025

9 months ago

Parse

Aug 27, 2026

3 weeks ago

8mo 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

Min istral 3 (3B Reasoning 2512) is available from Mistral AI. Parse is available from Azure, Cohere.

Min istral 3 (3B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

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 Min istral 3 (3B Reasoning 2512) and Parse side-by-side, then vote on the output you prefer.

Min istral 3 (3B Reasoning 2512)
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Min istral 3 (3B Reasoning 2512) vs Parse.

Which is better, Min istral 3 (3B Reasoning 2512) or Parse?

Min istral 3 (3B Reasoning 2512) (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 Min istral 3 (3B Reasoning 2512) compare to Parse in benchmarks?

Min istral 3 (3B Reasoning 2512) scores AIME 2024: 77.5%, AIME 2025: 72.1%, LiveCodeBench: 54.8%, GPQA: 53.4%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Min istral 3 (3B Reasoning 2512) and Parse?

Min istral 3 (3B Reasoning 2512) supports 131K 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 Min istral 3 (3B Reasoning 2512) and Parse?

Key differences include context window (131K vs 8K), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Min istral 3 (3B Reasoning 2512) and Parse?

Min istral 3 (3B Reasoning 2512) is developed by Mistral AI and Parse is developed by Cohere.

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