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Ministral 3 (14B Reasoning 2512) vs Nemotron Labs Dory 1.0 (4B)

Ministral 3 (14B Reasoning 2512) and Nemotron Labs Dory 1.0 (4B) are closely matched at 20.3 and 22.1 on the LLM Stats Score.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Ministral 3 (14B Reasoning 2512) and Nemotron Labs Dory 1.0 (4B) are closely matched on the overall LLM Stats Score at 20.3 and 22.1.

In the 1 individual benchmarks reported for both models, Nemotron Labs Dory 1.0 (4B) wins 1; 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 Reasoning 2512)

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

Choose Nemotron Labs Dory 1.0 (4B)

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Core performance indexes
20.3
#217
22.1
#202
20.3
#209
19.8
#213
11.0
#179
2.9
#241
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
262,100
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Reasoning 2512)
Nemotron Labs Dory 1.0 (4B)
21.0#161
12.2#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 10 for Nemotron Labs Dory 1.0 (4B)

1 shared

Ministral 3 (14B Reasoning 2512) outperforms in 0 benchmarks, while Nemotron Labs Dory 1.0 (4B) is better at 1 benchmark (GPQA).

Nemotron Labs Dory 1.0 (4B) significantly outperforms across most benchmarks.

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

10.0B diff

Ministral 3 (14B Reasoning 2512) has 10.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 250.0% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only Ministral 3 (14B Reasoning 2512) specifies input context (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
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) 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 Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (14B Reasoning 2512) is licensed under Apache 2.0, while Nemotron Labs Dory 1.0 (4B) uses OpenMDW License v1.1.

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 Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 11 months newer than Ministral 3 (14B Reasoning 2512).

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

10 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Nemotron Labs Dory 1.0 (4B).

Which is better, Ministral 3 (14B Reasoning 2512) or Nemotron Labs Dory 1.0 (4B)?

Ministral 3 (14B Reasoning 2512) and Nemotron Labs Dory 1.0 (4B) are closely matched on the LLM Stats Score at 20.3 and 22.1. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and Nemotron Labs Dory 1.0 (4B) is made by NVIDIA. 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 Nemotron Labs Dory 1.0 (4B) in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Nemotron Labs Dory 1.0 (4B) scores IFBench: 77.9%, GPQA: 72.4%, AA-LCR: 71.0%, SWE-Bench Verified: 59.5%, SciCode: 34.9%.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Nemotron Labs Dory 1.0 (4B)?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and Nemotron Labs Dory 1.0 (4B) supports an unknown number of 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 Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (20.3 vs 22.1), multimodal support (yes vs no), licensing (Apache 2.0 vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (14B Reasoning 2512) and Nemotron Labs Dory 1.0 (4B)?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.