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Model Comparison

Ministral 3 (14B Base 2512) vs Ministral 3 (8B Base 2512)Which is better in 2026?

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Verdict: Ministral 3 (14B Base 2512) vs Ministral 3 (8B Base 2512) — which is better?

Ministral 3 (14B Base 2512) (by Mistral AI) and Ministral 3 (8B Base 2512) (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Ministral 3 (14B Base 2512) outperforms in 6 benchmarks (AGIEval, MATH (CoT), MMLU, MMLU-Redux, Multilingual MMLU, TriviaQA), while Ministral 3 (8B Base 2512) is better at 0 benchmarks. Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Choose Ministral 3 (14B Base 2512) if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks

Choose Ministral 3 (8B Base 2512) if…

  • you are already invested in the Mistral AI ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Ministral 3 (14B Base 2512) outperforms in 6 benchmarks (AGIEval, MATH (CoT), MMLU, MMLU-Redux, Multilingual MMLU, TriviaQA), while Ministral 3 (8B Base 2512) is better at 0 benchmarks.

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

6.0B diff

Ministral 3 (14B Base 2512) has 6.0B more parameters than Ministral 3 (8B Base 2512), making it 75.0% larger.

Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
Mistral AI
Ministral 3 (8B Base 2512)
8.0Bparameters
14.0B
Ministral 3 (14B Base 2512)
8.0B
Ministral 3 (8B Base 2512)

Input Capabilities

Supported data types and modalities

Both Ministral 3 (14B Base 2512) and Ministral 3 (8B Base 2512) 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

Ministral 3 (8B Base 2512)

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

Ministral 3 (8B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-12-04.

They likely represent similar generations of model development.

Ministral 3 (14B Base 2512)

Dec 4, 2025

8 months ago

Ministral 3 (8B Base 2512)

Dec 4, 2025

8 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

Key Takeaways

Higher AGIEval score (64.8% vs 59.1%)
Higher MATH (CoT) score (67.6% vs 62.6%)
Higher MMLU score (79.4% vs 76.1%)
Higher MMLU-Redux score (82.0% vs 79.3%)
Higher Multilingual MMLU score (74.2% vs 70.6%)
Higher TriviaQA score (74.9% vs 68.1%)

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Ministral 3 (14B Base 2512) and Ministral 3 (8B Base 2512) side-by-side, then vote on the output you prefer.

Ministral 3 (14B Base 2512)
✓ Preferred
Ministral 3 (8B Base 2512)
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FAQ

Common questions about Ministral 3 (14B Base 2512) vs Ministral 3 (8B Base 2512).

Which is better, Ministral 3 (14B Base 2512) or Ministral 3 (8B Base 2512)?

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Base 2512) is made by Mistral AI and Ministral 3 (8B Base 2512) 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 Base 2512) compare to Ministral 3 (8B Base 2512) 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%. Ministral 3 (8B Base 2512) scores MMLU-Redux: 79.3%, MMLU: 76.1%, Multilingual MMLU: 70.6%, TriviaQA: 68.1%, MATH (CoT): 62.6%.