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Ministral 3 (14B Base 2512) vs Mistral Large 3

Ministral 3 (14B Base 2512) and Mistral Large 3 are closely matched at 3.6 and 10.4 on the LLM Stats Score.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Ministral 3 (14B Base 2512) and Mistral Large 3 are closely matched on the overall LLM Stats Score at 3.6 and 10.4.

In the 3 individual benchmarks reported for both models, Mistral Large 3 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 Base 2512)

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

Choose Mistral Large 3

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

At a glance

The differences that matter most.

Core performance indexes
3.6
#324
10.4
#279
3.5
#316
8.4
#288
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$2.00 / M
Output price
— / M
$5.00 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Base 2512)
Mistral Large 3
8.8#262
14.5#224
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Ministral 3 (14B Base 2512) · 8 for Mistral Large 3

3 shared

Ministral 3 (14B Base 2512) outperforms in 0 benchmarks, while Mistral Large 3 is better at 0 benchmarks.

Both models are evenly matched across the benchmarks.

Fri Oct 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

661.0B diff

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

Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
14.0B
Ministral 3 (14B Base 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 Base 2512)
Input- tokens
Output- tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (14B Base 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 Base 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 Base 2512)

Apache 2.0

Open weights

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Base 2512) was released on 2025-12-04, while Mistral Large 3 was released on 2025-09-01.

Ministral 3 (14B Base 2512) is 3 months newer than Mistral Large 3.

Ministral 3 (14B Base 2512)

Dec 4, 2025

10 months ago

3mo newer
Mistral Large 3

Sep 1, 2025

1.1 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?

Judge for yourself.

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

Ministral 3 (14B Base 2512)
✓ Preferred
Mistral Large 3
Open in Playground

FAQ

Common questions about Ministral 3 (14B Base 2512) vs Mistral Large 3.

Which is better, Ministral 3 (14B Base 2512) or Mistral Large 3?

Ministral 3 (14B Base 2512) and Mistral Large 3 are closely matched on the LLM Stats Score at 3.6 and 10.4. Ministral 3 (14B Base 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Ministral 3 (14B Base 2512) compare to Mistral Large 3 in benchmarks?

Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%. 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 Base 2512) and Mistral Large 3?

Ministral 3 (14B Base 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.

What are the main differences between Ministral 3 (14B Base 2512) and Mistral Large 3?

Key differences include LLM Stats Score (3.6 vs 10.4). See the full comparison above for benchmark-by-benchmark results.