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Ministral 3 (14B Reasoning 2512) vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.2 to 20.6. Ministral 3 (14B Reasoning 2512) is 5.2x cheaper per token.

Mistral AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 20.6, ranking #34 overall.

On price, Ministral 3 (14B Reasoning 2512) is roughly 5.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Ministral 3 (14B Reasoning 2512)

  • cost matters — it's about 5.2x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Ministral 3 (14B Reasoning 2512)
Mistral AI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
20.6
#209
46.2
#34
Reasoning
20.6
#200
44.4
#38
Coding
11.1
#173
35.4
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.20 / M
$0.68 / M
Output price
$0.20 / M
$2.09 / M
Context window
262,100
1,000,000

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 18 for Mistral Large 4

No common benchmarks found

Ministral 3 (14B Reasoning 2512) and Mistral Large 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (14B Reasoning 2512) costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 3.4x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 10.4x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Ministral 3 (14B Reasoning 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 15 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

1036.0B diff

Mistral Large 4 has 1036.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 7400.0% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
14.0B
Ministral 3 (14B Reasoning 2512)
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. Only Ministral 3 (14B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (14B Reasoning 2512) and Mistral Large 4 support multimodal inputs.

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

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Reasoning 2512) is licensed under Apache 2.0, while Mistral Large 4 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 10 months newer than Ministral 3 (14B Reasoning 2512).

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

10 months ago

Mistral Large 4

Oct 6, 2026

5 days ago

10mo 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

Provider Availability

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Mistral Large 4 is available from Mistral AI.

Ministral 3 (14B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and Mistral Large 4 side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Mistral Large 4.

Which is better, Ministral 3 (14B Reasoning 2512) or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.2 to 20.6. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and Mistral Large 4 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 Reasoning 2512) compare to Mistral Large 4 in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Ministral 3 (14B Reasoning 2512) cheaper than Mistral Large 4?

Ministral 3 (14B Reasoning 2512) is 3.4x cheaper for input tokens. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Mistral Large 4?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and Mistral Large 4 supports 1.0M 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 Reasoning 2512) and Mistral Large 4?

Key differences include LLM Stats Score (20.6 vs 46.2), context window (262K vs 1.0M), input pricing ($0.20 vs $0.68/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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