Model Comparison

Ministral 3 (8B Instruct 2512) vs Ministral 3 (8B Reasoning 2512)

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 3 (8B Instruct 2512) and Ministral 3 (8B Reasoning 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

0.0M diff

Ministral 3 (8B Reasoning 2512) has 0.0B more parameters than Ministral 3 (8B Instruct 2512), making it 0.0% larger.

Mistral AI
Ministral 3 (8B Instruct 2512)
8.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
8.0B
Ministral 3 (8B Instruct 2512)
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (8B Instruct 2512)
Input- tokens
Output- tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Ministral 3 (8B Instruct 2512)

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Ministral 3 (8B Instruct 2512)

Apache 2.0

Open weights

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-12-04.

They likely represent similar generations of model development.

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

6 months ago

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

6 months 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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

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

Larger context window (262,100 tokens)

Detailed Comparison

FAQ

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

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

Ministral 3 (8B Instruct 2512) (Mistral AI) and Ministral 3 (8B Reasoning 2512) (Mistral AI) 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 Instruct 2512) compare to Ministral 3 (8B Reasoning 2512) in benchmarks?

Ministral 3 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.

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

Ministral 3 (8B Instruct 2512) supports an unknown number of tokens and Ministral 3 (8B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.