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MiniStral 3 (14B Instruct 2512) vs Mistral Small 3.2 24B Instruct

MiniStral 3 (14B Instruct 2512) and Mistral Small 3.2 24B Instruct are closely matched at 9.8 and 8.0 on the LLM Stats Score.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

MiniStral 3 (14B Instruct 2512) and Mistral Small 3.2 24B Instruct are closely matched on the overall LLM Stats Score at 9.8 and 8.0.

In the 3 individual benchmarks reported for both models, MiniStral 3 (14B Instruct 2512) wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose MiniStral 3 (14B Instruct 2512)

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Dec 2025

Choose Mistral Small 3.2 24B Instruct

  • you want predictable pricing at $0.07/M input and $0.20/M output

At a glance

The differences that matter most.

MiniStral 3 (14B Instruct 2512)
Mistral AI
Mistral Small 3.2 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
9.8
#291
8.0
#304
Reasoning
11.6
#273
7.5
#305
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
— / M
$0.07 / M
Output price
— / M
$0.20 / M
Context window
—
128,000

Individual benchmarks

4 reported for MiniStral 3 (14B Instruct 2512) · 15 for Mistral Small 3.2 24B Instruct

3 shared

MiniStral 3 (14B Instruct 2512) outperforms in 3 benchmarks (Arena Hard, MATH, Wild Bench), while Mistral Small 3.2 24B Instruct is better at 0 benchmarks.

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Sun Oct 25 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

9.6B diff

Mistral Small 3.2 24B Instruct has 9.6B more parameters than MiniStral 3 (14B Instruct 2512), making it 68.6% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
14.0B
MiniStral 3 (14B Instruct 2512)
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Oct 25 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both MiniStral 3 (14B Instruct 2512) and Mistral Small 3.2 24B Instruct support multimodal inputs.

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

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

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 (14B Instruct 2512)

Apache 2.0

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

MiniStral 3 (14B Instruct 2512) was released on 2025-12-04, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

MiniStral 3 (14B Instruct 2512) is 6 months newer than Mistral Small 3.2 24B Instruct.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

10 months ago

5mo newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while MiniStral 3 (14B Instruct 2512)'s cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without MiniStral 3 (14B Instruct 2512)'s cutoff date.

MiniStral 3 (14B Instruct 2512)

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against MiniStral 3 (14B Instruct 2512) and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

MiniStral 3 (14B Instruct 2512)
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs Mistral Small 3.2 24B Instruct.

Which is better, MiniStral 3 (14B Instruct 2512) or Mistral Small 3.2 24B Instruct?

MiniStral 3 (14B Instruct 2512) and Mistral Small 3.2 24B Instruct are closely matched on the LLM Stats Score at 9.8 and 8.0. MiniStral 3 (14B Instruct 2512) is made by Mistral AI and Mistral Small 3.2 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MiniStral 3 (14B Instruct 2512) compare to Mistral Small 3.2 24B Instruct in benchmarks?

MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for MiniStral 3 (14B Instruct 2512) and Mistral Small 3.2 24B Instruct?

MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens and Mistral Small 3.2 24B Instruct 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 (14B Instruct 2512) and Mistral Small 3.2 24B Instruct?

Key differences include LLM Stats Score (9.8 vs 8.0). See the full comparison above for benchmark-by-benchmark results.

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