Model Comparison

Ministral 3 (14B Reasoning 2512) vs Nemotron 3 Nano (30B A3B)Which is better in 2026?

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 1.9x cheaper per token.

Verdict: Ministral 3 (14B Reasoning 2512) vs Nemotron 3 Nano (30B A3B) — which is better?

Ministral 3 (14B Reasoning 2512) (by Mistral AI) and Nemotron 3 Nano (30B A3B) (by NVIDIA) 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 Reasoning 2512) outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 2 benchmarks (AIME 2025, GPQA). Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

On price, Nemotron 3 Nano (30B A3B) is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Nemotron 3 Nano (30B A3B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Ministral 3 (14B Reasoning 2512) if…

  • you want predictable pricing at $0.20/M input and $0.20/M output

Choose Nemotron 3 Nano (30B A3B) if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 1.9x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Dec 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Ministral 3 (14B Reasoning 2512) outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 2 benchmarks (AIME 2025, GPQA).

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 3.3x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, Ministral 3 (14B Reasoning 2512) ($0.20/1M tokens) is 1.2x cheaper than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, Ministral 3 (14B Reasoning 2512) is more expensive than Nemotron 3 Nano (30B A3B).*

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

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

18.0B diff

Nemotron 3 Nano (30B A3B) has 18.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 128.6% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to Ministral 3 (14B Reasoning 2512)'s 262,100 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while Ministral 3 (14B Reasoning 2512) is limited to 262,100 tokens.

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Reasoning 2512) is licensed under Apache 2.0, while Nemotron 3 Nano (30B A3B) uses NVIDIA Open Model License Agreement .

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

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 0 month newer than Ministral 3 (14B Reasoning 2512).

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

6 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

6 months ago

1w newer

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while Ministral 3 (14B Reasoning 2512)'s cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without Ministral 3 (14B Reasoning 2512)'s cutoff date.

Ministral 3 (14B Reasoning 2512)

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

Ministral 3 (14B Reasoning 2512) is available from Mistral AI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

Ministral 3 (14B Reasoning 2512)

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

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Less expensive output tokens
Larger context window (262,144 tokens)
Less expensive input tokens
Higher AIME 2025 score (99.2% vs 85.0%)
Higher GPQA score (75.0% vs 71.2%)

Detailed Comparison

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Nemotron 3 Nano (30B A3B).

Which is better, Ministral 3 (14B Reasoning 2512) or Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and Nemotron 3 Nano (30B A3B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Ministral 3 (14B Reasoning 2512) compare to Nemotron 3 Nano (30B A3B) in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is Ministral 3 (14B Reasoning 2512) cheaper than Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) is 3.3x cheaper for input tokens. Ministral 3 (14B Reasoning 2512) costs $0.20/M input and $0.20/M output via mistral. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Nemotron 3 Nano (30B A3B)?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and Nemotron 3 Nano (30B A3B) supports 262K 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 Nemotron 3 Nano (30B A3B)?

Key differences include context window (262K vs 262K), input pricing ($0.20 vs $0.06/M), multimodal support (yes vs no), licensing (Apache 2.0 vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Reasoning 2512) and Nemotron 3 Nano (30B A3B)?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.