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MiniStral 3 (14B Instruct 2512) vs Pixtral Large

Pixtral Large significantly outperforms across most benchmarks.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

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

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 Pixtral Large

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

At a glance

The differences that matter most.

MiniStral 3 (14B Instruct 2512)
Mistral AI
Pixtral Large
Mistral AI
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000
Released
Dec 2025
Nov 2024
License
Apache 2.0
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Pixtral Large significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

110.0B diff

Pixtral Large has 110.0B more parameters than MiniStral 3 (14B Instruct 2512), making it 785.7% larger.

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
14.0B
MiniStral 3 (14B 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 (14B Instruct 2512)
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

MiniStral 3 (14B 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 (14B 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 (14B Instruct 2512) was released on 2025-12-04, while Pixtral Large was released on 2024-11-18.

MiniStral 3 (14B Instruct 2512) is 13 months newer than Pixtral Large.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

8 months ago

1.0yr newer
Pixtral Large

Nov 18, 2024

1.8 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

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

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

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

Pixtral Large significantly outperforms across most benchmarks. MiniStral 3 (14B 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 (14B Instruct 2512) compare to Pixtral Large in benchmarks?

MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. 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 (14B Instruct 2512) and Pixtral Large?

MiniStral 3 (14B 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 (14B 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.

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