The AI arena is free today

Open Superagent

Mistral Large 2 vs Nemotron Labs Dory 1.0 (4B)

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 7.1.

Mistral AI · NVIDIA · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 22.1 to 7.1, ranking #202 overall.

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

Choose Mistral Large 2

  • your work emphasizes coding — it leads those capability indexes

Choose Nemotron Labs Dory 1.0 (4B)

  • overall performance matters — it scores 22.1 and ranks #202 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Mistral Large 2
Mistral AI
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
7.1
#312
22.1
#202
Reasoning
7.0
#305
19.8
#213
Coding
12.9
#158
2.9
#242
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 2
Nemotron Labs Dory 1.0 (4B)
Math
11.3#255
12.2#245
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 2 · 10 for Nemotron Labs Dory 1.0 (4B)

No common benchmarks found

Mistral Large 2 and Nemotron Labs Dory 1.0 (4B)don'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

Model Size

Parameter count comparison

119.0B diff

Mistral Large 2 has 119.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 2975.0% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
123.0B
Mistral Large 2
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research 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 2

Mistral Research License

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 27 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

2.2 years ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

2.2yr 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 2 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

Mistral Large 2
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about Mistral Large 2 vs Nemotron Labs Dory 1.0 (4B).

Which is better, Mistral Large 2 or Nemotron Labs Dory 1.0 (4B)?

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 7.1. Mistral Large 2 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 2 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. 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 2 and Nemotron Labs Dory 1.0 (4B)?

Mistral Large 2 supports 128K 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 2 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (7.1 vs 22.1), licensing (Mistral Research License vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 2 and Nemotron Labs Dory 1.0 (4B)?

Mistral Large 2 is developed by Mistral AI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

Related comparisons