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Ministral 3 (8B Reasoning 2512) vs Parse

Comparing Ministral 3 (8B Reasoning 2512) and Parse across benchmarks, pricing, and capabilities.

Mistral AI · Cohere · Updated for 2026

Which is better?

Ministral 3 (8B Reasoning 2512) and Parse trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Ministral 3 (8B Reasoning 2512) also accepts a larger context window (262,100 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 Ministral 3 (8B Reasoning 2512)

  • you process long inputs — it offers a 262,100 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.

Ministral 3 (8B Reasoning 2512)
Mistral AI
Parse
Cohere
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.15 / M
— / M
Context window
262,100
8,192

Individual benchmarks

4 reported for Ministral 3 (8B Reasoning 2512) · 1 for Parse

No common benchmarks found

Ministral 3 (8B 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

5.7B diff

Ministral 3 (8B Reasoning 2512) has 5.7B more parameters than Parse, making it 247.8% larger.

Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
Cohere
Parse
2.3Bparameters
8.0B
Ministral 3 (8B Reasoning 2512)
2.3B
Parse

Context Window

Maximum input and output token capacity

Ministral 3 (8B Reasoning 2512) accepts 262,100 input tokens compared to Parse's 8,192 tokens. Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Cohere
Parse
Input8,192 tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (8B Reasoning 2512) and Parse support multimodal inputs.

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

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

Parse

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (8B 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.

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Parse

Proprietary

Closed source

Release Timeline

When each model was launched

Ministral 3 (8B Reasoning 2512) was released on 2025-12-04, while Parse was released on 2026-08-27.

Parse is 9 months newer than Ministral 3 (8B Reasoning 2512).

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

8 months ago

Parse

Aug 27, 2026

3 days 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

Ministral 3 (8B Reasoning 2512) is available from Mistral AI. Parse is available from Azure, Cohere.

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M

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 Ministral 3 (8B Reasoning 2512) and Parse side-by-side, then vote on the output you prefer.

Ministral 3 (8B Reasoning 2512)
✓ Preferred
Parse
Open in Playground

FAQ

Common questions about Ministral 3 (8B Reasoning 2512) vs Parse.

Which is better, Ministral 3 (8B Reasoning 2512) or Parse?

Ministral 3 (8B 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 Ministral 3 (8B Reasoning 2512) compare to Parse in benchmarks?

Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%. Parse scores ParseBench: 79.2%.

What are the context window sizes for Ministral 3 (8B Reasoning 2512) and Parse?

Ministral 3 (8B Reasoning 2512) supports 262K 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 (8B Reasoning 2512) and Parse?

Key differences include context window (262K vs 8K), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (8B Reasoning 2512) and Parse?

Ministral 3 (8B Reasoning 2512) is developed by Mistral AI and Parse is developed by Cohere.

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