The AI arena is free today

Open Superagent

GLM-4.7 vs Nemotron Labs Dory 1.0 (4B)

GLM-4.7 leads the LLM Stats Score 34.1 to 22.1.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-4.7 leads the overall LLM Stats Score 34.1 to 22.1, ranking #112 overall.

In the 3 individual benchmarks reported for both models, GLM-4.7 wins 3; 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 GLM-4.7

  • overall performance matters — it scores 34.1 and ranks #112 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results

Choose Nemotron Labs Dory 1.0 (4B)

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GLM-4.7
Zhipu AI
Nemotron Labs Dory 1.0 (4B)
NVIDIA
Core performance indexes
LLM Stats Score
34.1
#112
22.1
#202
Reasoning
34.1
#108
19.8
#213
Coding
17.4
#137
2.9
#242
Agents
9.4
#145
-0.7
#198
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.40 / M
— / M
Output price
$1.75 / M
— / M
Context window
202,752
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-4.7
Nemotron Labs Dory 1.0 (4B)
Math
34.6#49
12.2#245
Tool use
8.3#156
-2.1#205
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for GLM-4.7 · 10 for Nemotron Labs Dory 1.0 (4B)

3 shared

GLM-4.7 outperforms in 3 benchmarks (GPQA, Humanity's Last Exam, SWE-Bench Verified), while Nemotron Labs Dory 1.0 (4B) is better at 0 benchmarks.

GLM-4.7 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

354.0B diff

GLM-4.7 has 354.0B more parameters than Nemotron Labs Dory 1.0 (4B), making it 8850.0% larger.

Zhipu AI
GLM-4.7
358.0Bparameters
NVIDIA
Nemotron Labs Dory 1.0 (4B)
4.0Bparameters
358.0B
GLM-4.7
4.0B
Nemotron Labs Dory 1.0 (4B)

Context Window

Maximum input and output token capacity

Only GLM-4.7 specifies input context (202,752 tokens). Only GLM-4.7 specifies output context (202,752 tokens).

Zhipu AI
GLM-4.7
Input202,752 tokens
Output202,752 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

GLM-4.7 supports multimodal inputs, whereas Nemotron Labs Dory 1.0 (4B) does not.

GLM-4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.7

Text
Images
Audio
Video

Nemotron Labs Dory 1.0 (4B)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7 is licensed under MIT, 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.

GLM-4.7

MIT

Open weights

Nemotron Labs Dory 1.0 (4B)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-4.7 was released on 2025-12-22, while Nemotron Labs Dory 1.0 (4B) was released on 2026-10-16.

Nemotron Labs Dory 1.0 (4B) is 10 months newer than GLM-4.7.

GLM-4.7

Dec 22, 2025

10 months ago

Nemotron Labs Dory 1.0 (4B)

Oct 16, 2026

3 days ago

9mo 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 GLM-4.7 and Nemotron Labs Dory 1.0 (4B) side-by-side, then vote on the output you prefer.

GLM-4.7
✓ Preferred
Nemotron Labs Dory 1.0 (4B)
Open in Playground

FAQ

Common questions about GLM-4.7 vs Nemotron Labs Dory 1.0 (4B).

Which is better, GLM-4.7 or Nemotron Labs Dory 1.0 (4B)?

GLM-4.7 leads the LLM Stats Score 34.1 to 22.1. GLM-4.7 is made by Zhipu 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 GLM-4.7 compare to Nemotron Labs Dory 1.0 (4B) in benchmarks?

GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%. 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 GLM-4.7 and Nemotron Labs Dory 1.0 (4B)?

GLM-4.7 supports 203K 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 GLM-4.7 and Nemotron Labs Dory 1.0 (4B)?

Key differences include LLM Stats Score (34.1 vs 22.1), multimodal support (yes vs no), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.7 and Nemotron Labs Dory 1.0 (4B)?

GLM-4.7 is developed by Zhipu AI and Nemotron Labs Dory 1.0 (4B) is developed by NVIDIA.

Related comparisons