Model Comparison

Devstral Small 1.1 vs Ministral 3 (14B Base 2512)

Comparing Devstral Small 1.1 and Ministral 3 (14B Base 2512) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and Ministral 3 (14B Base 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

10.0B diff

Devstral Small 1.1 has 10.0B more parameters than Ministral 3 (14B Base 2512), making it 71.4% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
24.0B
Devstral Small 1.1
14.0B
Ministral 3 (14B Base 2512)

Context Window

Maximum input and output token capacity

Only Devstral Small 1.1 specifies input context (128,000 tokens). Only Devstral Small 1.1 specifies output context (128,000 tokens).

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Mistral AI
Ministral 3 (14B Base 2512)
Input- tokens
Output- tokens
Mon Jun 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Base 2512) supports multimodal inputs, whereas Devstral Small 1.1 does not.

Ministral 3 (14B Base 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Small 1.1

Text
Images
Audio
Video

Ministral 3 (14B Base 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.

Devstral Small 1.1

Apache 2.0

Open weights

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

Ministral 3 (14B Base 2512) is 5 months newer than Devstral Small 1.1.

Devstral Small 1.1

Jul 11, 2025

10 months ago

Ministral 3 (14B Base 2512)

Dec 4, 2025

5 months ago

4mo 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→

Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Mistral AI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
Mistral AI
Ministral 3 (14B Base 2512)

FAQ

Common questions about Devstral Small 1.1 vs Ministral 3 (14B Base 2512).

Which is better, Devstral Small 1.1 or Ministral 3 (14B Base 2512)?

Devstral Small 1.1 (Mistral AI) and Ministral 3 (14B Base 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 Devstral Small 1.1 compare to Ministral 3 (14B Base 2512) in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the context window sizes for Devstral Small 1.1 and Ministral 3 (14B Base 2512)?

Devstral Small 1.1 supports 128K tokens and Ministral 3 (14B Base 2512) supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Devstral Small 1.1 and Ministral 3 (14B Base 2512)?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.