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Nemotron Labs Dory 1.0 (4B) vs Phi-4-multimodal-instruct

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 2.5.

NVIDIA · Microsoft · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 22.1 to 2.5, 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
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Phi-4-multimodal-instruct

  • you want predictable pricing at $0.05/M input and $0.10/M output

At a glance

The differences that matter most.

Nemotron Labs Dory 1.0 (4B)
NVIDIA
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
22.1
#202
2.5
#336
Reasoning
19.8
#213
-0.5
#344
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.05 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Individual benchmarks

10 reported for Nemotron Labs Dory 1.0 (4B) · 15 for Phi-4-multimodal-instruct

No common benchmarks found

Nemotron Labs Dory 1.0 (4B) and Phi-4-multimodal-instructdon'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

1.6B diff

Phi-4-multimodal-instruct has 1.6B more parameters than Nemotron Labs Dory 1.0 (4B), making it 40.0% larger.

NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
4.0B
Nemotron Labs Dory 1.0 (4B)
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

Only Phi-4-multimodal-instruct specifies input context (128,000 tokens). Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).

NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Phi-4-multimodal-instruct supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

Phi-4-multimodal-instruct 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

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, while Phi-4-multimodal-instruct uses MIT.

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

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16, while Phi-4-multimodal-instruct was released on 2025-02-01.

Nemotron Labs Dory 1.0 (4B) is 21 months newer than Phi-4-multimodal-instruct.

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

1 days ago

1.7yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Nemotron Labs Dory 1.0 (4B)'s cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Nemotron Labs Dory 1.0 (4B)'s cutoff date.

Nemotron Labs Dory 1.0 (4B)

—

Phi-4-multimodal-instruct

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Nemotron Labs Dory 1.0 (4B)
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Nemotron Labs Dory 1.0 (4B) vs Phi-4-multimodal-instruct.

Which is better, Nemotron Labs Dory 1.0 (4B) or Phi-4-multimodal-instruct?

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to 2.5. Nemotron Labs Dory 1.0 (4B) is made by NVIDIA and Phi-4-multimodal-instruct is made by Microsoft. 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 Phi-4-multimodal-instruct 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%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

What are the context window sizes for Nemotron Labs Dory 1.0 (4B) and Phi-4-multimodal-instruct?

Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens and Phi-4-multimodal-instruct 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 Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (22.1 vs 2.5), multimodal support (no vs yes), licensing (OpenMDW License v1.1 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Nemotron Labs Dory 1.0 (4B) and Phi-4-multimodal-instruct?

Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA and Phi-4-multimodal-instruct is developed by Microsoft.

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