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Mistral Large 4 vs Nemotron Labs Dory 1.0 (4B)

Mistral Large 4 leads the LLM Stats Score 45.6 to 22.1.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.6 to 22.1, ranking #40 overall.

In the 1 individual benchmarks reported for both models, Mistral Large 4 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 Mistral Large 4

  • overall performance matters — it scores 45.6 and ranks #40 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Nemotron Labs Dory 1.0 (4B)

  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
45.6
#40
22.1
#202
Reasoning
43.8
#47
19.8
#213
Coding
34.6
#33
2.9
#242
Agents
33.6
#34
-0.7
#198
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 4
Nemotron Labs Dory 1.0 (4B)
Tool use
27.5#24
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 10 for Nemotron Labs Dory 1.0 (4B)

1 shared

Mistral Large 4 outperforms in 1 benchmarks (SciCode), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

Mistral Large 4 significantly outperforms across most benchmarks.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1046.0B diff

Mistral Large 4 has 1046.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 26150.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
1050.0B
Mistral Large 4
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, 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.

Mistral Large 4

Proprietary

Closed source

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 0 month newer than Mistral Large 4.

Mistral Large 4

Oct 6, 2026

1 weeks ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

1w 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 Mistral Large 4 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Nemotron Labs Dory 1.0 (4B).

Which is better, Mistral Large 4 or Nemotron Labs Dory 1.0 (4B)?

Mistral Large 4 leads the LLM Stats Score 45.6 to 22.1. Mistral Large 4 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 Mistral Large 4 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. 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 Mistral Large 4 and Nemotron Labs Dory 1.0 (4B)?

Mistral Large 4 supports 1.0M 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 Mistral Large 4 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (45.6 vs 22.1), multimodal support (yes vs no), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Nemotron Labs Dory 1.0 (4B)?

Mistral Large 4 is developed by Mistral AI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

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