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Nemotron Labs Dory 1.0 (4B) vs Pixtral Large

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 11.5.

NVIDIA · Mistral AI · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 22.1 to 11.5, ranking #202 overall.

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

Choose Nemotron Labs Dory 1.0 (4B)

  • overall performance matters — it scores 22.1 and ranks #202 on LLM Stats
  • you want the most recent training data — it shipped Oct 2026

Choose Pixtral Large

  • you want predictable pricing at $2.00/M input and $6.00/M output

At a glance

The differences that matter most.

Core performance indexes
22.1
#202
11.5
#280
19.8
#213
12.8
#264
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Individual benchmarks

10 reported for Nemotron Labs Dory 1.0 (4B) · 7 for Pixtral Large

No common benchmarks found

Nemotron Labs Dory 1.0 (4B) and Pixtral Largedon'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

120.0B diff

Pixtral Large has 120.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 3000.0% larger.

NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
4.0B
Nemotron Labs Dory 1.0 (4B)
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

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

NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

License differences may affect how you can use these models in commercial or open-source projects.

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16, while Pixtral Large was released on 2024-11-18.

Nemotron Labs Dory 1.0 (4B) is 23 months newer than Pixtral Large.

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

1.9yr newer
Pixtral Large

Nov 18, 2024

1.9 years 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?

Judge for yourself.

Run your own prompts against Nemotron Labs Dory 1.0 (4B) and Pixtral Large side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 11.5. Nemotron Labs Dory 1.0 (4B) is made by NVIDIA and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Nemotron Labs Dory 1.0 (4B) compare to Pixtral Large in benchmarks?

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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for Nemotron Labs Dory 1.0 (4B) and Pixtral Large?

Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens and Pixtral Large supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Nemotron Labs Dory 1.0 (4B) and Pixtral Large?

Key differences include LLM Stats Score (22.1 vs 11.5), multimodal support (no vs yes), licensing (OpenMDW License v1.1 vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

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

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