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MiniStral 3 (14B Instruct 2512) vs Mistral Large 3

Mistral Large 3 has a slight edge in benchmark performance.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

MiniStral 3 (14B Instruct 2512) outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MM-MT-Bench). Mistral Large 3 has a slight edge in benchmark performance.

Based on current benchmark, pricing, and model metadata for 2026.

Choose MiniStral 3 (14B Instruct 2512)

  • you want the most recent training data — it shipped Dec 2025

Choose Mistral Large 3

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks

At a glance

The differences that matter most.

MiniStral 3 (14B Instruct 2512)
Mistral AI
Mistral Large 3
Mistral AI
Benchmark wins
0 of 4
4 of 4
Input price
— / M
$2.00 / M
Output price
— / M
$5.00 / M
Context window
—
128,000
Released
Dec 2025
Sep 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MiniStral 3 (14B Instruct 2512) outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MM-MT-Bench).

Mistral Large 3 has a slight edge in benchmark performance.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

661.0B diff

Mistral Large 3 has 661.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 4721.4% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
14.0B
MiniStral 3 (14B Instruct 2512)
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).

Mistral AI
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both MiniStral 3 (14B Instruct 2512) and Mistral Large 3 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 Large 3

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 Large 3

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 Large 3 was released on 2025-09-01.

MiniStral 3 (14B Instruct 2512) is 3 months newer than Mistral Large 3.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

8 months ago

3mo newer
Mistral Large 3

Sep 1, 2025

11 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→

Judge for yourself.

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

MiniStral 3 (14B Instruct 2512)
✓ Preferred
Mistral Large 3
Open in Playground

FAQ

Common questions about MiniStral 3 (14B Instruct 2512) vs Mistral Large 3.

Which is better, MiniStral 3 (14B Instruct 2512) or Mistral Large 3?

Mistral Large 3 has a slight edge in benchmark performance. MiniStral 3 (14B Instruct 2512) is made by Mistral AI and Mistral Large 3 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 (14B Instruct 2512) compare to Mistral Large 3 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 Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

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

MiniStral 3 (14B Instruct 2512) supports an unknown number of tokens and Mistral Large 3 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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