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Ministral 3 (3B Base 2512) vs Parse

Comparing Ministral 3 (3B Base 2512) and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

Ministral 3 (3B Base 2512) 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 Ministral 3 (3B Base 2512)

  • 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.

Ministral 3 (3B Base 2512)
Mistral AI
Parse
Cohere
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
8,192

Individual benchmarks

6 reported for Ministral 3 (3B Base 2512) · 1 for Parse

No common benchmarks found

Ministral 3 (3B Base 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

Ministral 3 (3B Base 2512) has 0.7B more parameters than Parse, making it 30.4% larger.

Mistral AI
Ministral 3 (3B Base 2512)
3.0Bparameters
Cohere
Parse
2.3Bparameters
3.0B
Ministral 3 (3B Base 2512)
2.3B
Parse

Context Window

Maximum input and output token capacity

Only Parse specifies input context (8,192 tokens).

Mistral AI
Ministral 3 (3B Base 2512)
Input- tokens
Output- tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (3B Base 2512) and Parse support multimodal inputs.

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

Ministral 3 (3B Base 2512)

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (3B Base 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.

Ministral 3 (3B Base 2512)

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Ministral 3 (3B Base 2512) was released on 2025-12-04, while Parse was released on 2026-08-27.

Parse is 9 months newer than Ministral 3 (3B Base 2512).

Ministral 3 (3B Base 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ministral 3 (3B Base 2512) and Parse side-by-side, then vote on the output you prefer.

Ministral 3 (3B Base 2512)
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Ministral 3 (3B Base 2512) vs Parse.

Which is better, Ministral 3 (3B Base 2512) or Parse?

Ministral 3 (3B Base 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 Ministral 3 (3B Base 2512) compare to Parse in benchmarks?

Ministral 3 (3B Base 2512) scores MMLU-Redux: 73.5%, MMLU: 70.7%, Multilingual MMLU: 65.2%, MATH (CoT): 60.1%, TriviaQA: 59.2%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Ministral 3 (3B Base 2512) and Parse?

Ministral 3 (3B Base 2512) supports an unknown number of 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 Ministral 3 (3B Base 2512) and Parse?

Key differences include licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (3B Base 2512) and Parse?

Ministral 3 (3B Base 2512) is developed by Mistral AI and Parse is developed by Cohere.

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