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Nemotron Labs Dory 1.0 (4B) vs Phi-3.5-mini-instruct

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to -4.1.

NVIDIA · Microsoft · Updated for 2026

Which is better?

Nemotron Labs Dory 1.0 (4B) leads the overall LLM Stats Score 22.1 to -4.1, ranking #202 overall.

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

Choose Phi-3.5-mini-instruct

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

At a glance

The differences that matter most.

Nemotron Labs Dory 1.0 (4B)
NVIDIA
Phi-3.5-mini-instruct
Microsoft
Core performance indexes
LLM Stats Score
22.1
#202
-4.1
#370
Reasoning
19.8
#213
-5.0
#366
Coding
2.9
#242
-6.9
#284
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Nemotron Labs Dory 1.0 (4B)
Phi-3.5-mini-instruct
Math
12.2#245
-1.5#316
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

10 reported for Nemotron Labs Dory 1.0 (4B) · 31 for Phi-3.5-mini-instruct

1 shared

Nemotron Labs Dory 1.0 (4B) outperforms in 1 benchmarks (GPQA), while Phi-3.5-mini-instruct is better at 0 benchmarks.

Nemotron Labs Dory 1.0 (4B) 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

200.0M diff

Nemotron Labs Dory 1.0 (4B) has 0.2B more parameters than Phi-3.5-mini-instruct, making it 5.3% larger.

NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
4.0B
Nemotron Labs Dory 1.0 (4B)
3.8B
Phi-3.5-mini-instruct

Context Window

Maximum input and output token capacity

Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

NVIDIA
Nemotron Labs Dory 1.0 (4B)
Input- tokens
Output- tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Mon Oct 19 2026 • llm-stats.com

License

Usage and distribution terms

Nemotron Labs Dory 1.0 (4B) is licensed under OpenMDW License v1.1, while Phi-3.5-mini-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-3.5-mini-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-3.5-mini-instruct was released on 2024-08-23.

Nemotron Labs Dory 1.0 (4B) is 26 months newer than Phi-3.5-mini-instruct.

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

2.1yr newer
Phi-3.5-mini-instruct

Aug 23, 2024

2.2 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 Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.

Nemotron Labs Dory 1.0 (4B)
✓ Preferred
Phi-3.5-mini-instruct
Open in Playground

FAQ

Common questions about Nemotron Labs Dory 1.0 (4B) vs Phi-3.5-mini-instruct.

Which is better, Nemotron Labs Dory 1.0 (4B) or Phi-3.5-mini-instruct?

Nemotron Labs Dory 1.0 (4B) leads the LLM Stats Score 22.1 to -4.1. Nemotron Labs Dory 1.0 (4B) is made by NVIDIA and Phi-3.5-mini-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-3.5-mini-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-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.

What are the context window sizes for Nemotron Labs Dory 1.0 (4B) and Phi-3.5-mini-instruct?

Nemotron Labs Dory 1.0 (4B) supports an unknown number of tokens and Phi-3.5-mini-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-3.5-mini-instruct?

Key differences include LLM Stats Score (22.1 vs -4.1), 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-3.5-mini-instruct?

Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA and Phi-3.5-mini-instruct is developed by Microsoft.

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