The AI arena is free today

Open Superagent

GLM-5.3 vs Nemotron 3.5 Bolt (74B A9B 24GB)

GLM-5.3 leads the LLM Stats Score 50.9 to 29.6.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-5.3 leads the overall LLM Stats Score 50.9 to 29.6, ranking #16 overall.

In the 2 individual benchmarks reported for both models, GLM-5.3 wins 2; 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-5.3

  • overall performance matters — it scores 50.9 and ranks #16 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

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

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
50.9
#16
29.6
#146
Reasoning
50.7
#13
28.9
#146
Coding
39.4
#13
14.4
#154
Agents
37.0
#18
11.9
#127
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$1.20 / M
— / M
Output price
$4.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3
Nemotron 3.5 Bolt (74B A9B 24GB)
Tool use
30.9#9
5.4#169
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GLM-5.3 · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

2 shared

GLM-5.3 outperforms in 2 benchmarks (Humanity's Last Exam, Terminal-Bench 2.1), while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 0 benchmarks.

GLM-5.3 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

679.0B diff

GLM-5.3 has 679.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 917.6% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
753.0B
GLM-5.3
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,048,576 tokens). Only GLM-5.3 specifies output context (1,048,576 tokens).

Zhipu AI
GLM-5.3
Input1,048,576 tokens
Output1,048,576 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas GLM-5.3 does not.

Nemotron 3.5 Bolt (74B A9B 24GB) can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3 is licensed under GLM-5.3 License, while Nemotron 3.5 Bolt (74B A9B 24GB) uses OpenMDW License v1.1.

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

GLM-5.3

GLM-5.3 License

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 2 months newer than GLM-5.3.

GLM-5.3

Aug 14, 2026

2 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

2mo newer

Knowledge Cutoff

When training data ends

Nemotron 3.5 Bolt (74B A9B 24GB) has a documented knowledge cutoff of 2026-05-01, while GLM-5.3's cutoff date is not specified.

We can confirm Nemotron 3.5 Bolt (74B A9B 24GB)'s training data extends to 2026-05-01, but cannot make a direct comparison without GLM-5.3's cutoff date.

GLM-5.3

—

Nemotron 3.5 Bolt (74B A9B 24GB)

May 2026

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-5.3 and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GLM-5.3 vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GLM-5.3 or Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5.3 leads the LLM Stats Score 50.9 to 29.6. GLM-5.3 is made by Zhipu AI and Nemotron 3.5 Bolt (74B A9B 24GB) 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-5.3 compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Nemotron 3.5 Bolt (74B A9B 24GB) scores PinchBench: 87.8%, GPQA: 86.4%, BrowseComp: 66.8%, AA-LCR: 64.1%, MCP Atlas: 52.2%.

What are the context window sizes for GLM-5.3 and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5.3 supports 1.0M tokens and Nemotron 3.5 Bolt (74B A9B 24GB) 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-5.3 and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (50.9 vs 29.6), multimodal support (no vs yes), licensing (GLM-5.3 License vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5.3 is developed by Zhipu AI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

Related comparisons