Model Comparison

Ministral 3 (3B Instruct 2512) vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (3B Instruct 2512) outperforms in 0 benchmarks, while Pixtral Large is better at 1 benchmark (MM-MT-Bench).

Pixtral Large significantly outperforms across most benchmarks.

Sat May 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

121.0B diff

Pixtral Large has 121.0B more parameters than Ministral 3 (3B Instruct 2512), making it 4033.3% larger.

Mistral AI
Ministral 3 (3B Instruct 2512)
3.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
3.0B
Ministral 3 (3B Instruct 2512)
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Mistral AI
Ministral 3 (3B Instruct 2512)
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sat May 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Ministral 3 (3B Instruct 2512) and Pixtral Large support multimodal inputs.

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

Ministral 3 (3B Instruct 2512)

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (3B Instruct 2512) is licensed under Apache 2.0, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Ministral 3 (3B Instruct 2512)

Apache 2.0

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Ministral 3 (3B Instruct 2512) was released on 2025-12-04, while Pixtral Large was released on 2024-11-18.

Ministral 3 (3B Instruct 2512) is 13 months newer than Pixtral Large.

Ministral 3 (3B Instruct 2512)

Dec 4, 2025

5 months ago

1.0yr newer
Pixtral Large

Nov 18, 2024

1.5 years ago

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

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Key Takeaways

Mistral AI

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (128,000 tokens)
Higher MM-MT-Bench score (74.0% vs 7.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (3B Instruct 2512)
Mistral AI
Pixtral Large

FAQ

Common questions about Ministral 3 (3B Instruct 2512) vs Pixtral Large.

Which is better, Ministral 3 (3B Instruct 2512) or Pixtral Large?

Pixtral Large significantly outperforms across most benchmarks. Ministral 3 (3B Instruct 2512) is made by Mistral AI and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Ministral 3 (3B Instruct 2512) compare to Pixtral Large in benchmarks?

Ministral 3 (3B Instruct 2512) scores MATH: 83.0%, Wild Bench: 56.8%, Arena Hard: 30.5%, MM-MT-Bench: 7.8%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for Ministral 3 (3B Instruct 2512) and Pixtral Large?

Ministral 3 (3B Instruct 2512) supports an unknown number of tokens and Pixtral Large supports 128K 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 Instruct 2512) and Pixtral Large?

Key differences include licensing (Apache 2.0 vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.