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GLM-5.2 vs Nemotron 3.5 Bolt (74B A9B 24GB)

GLM-5.2 leads the LLM Stats Score 44.8 to 29.9.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-5.2 leads the overall LLM Stats Score 44.8 to 29.9, ranking #44 overall.

In the 4 individual benchmarks reported for both models, GLM-5.2 wins 4; 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-5.2

  • overall performance matters — it scores 44.8 and ranks #44 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 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-5.2
Zhipu AI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
44.8
#44
29.9
#142
Reasoning
44.5
#43
29.2
#143
Coding
33.3
#39
14.8
#151
Agents
28.8
#52
12.4
#124
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.75 / M
— / M
Output price
$2.40 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GLM-5.2
Nemotron 3.5 Bolt (74B A9B 24GB)
Math
41.4#10
23.6#135
Tool use
20.1#69
5.6#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for GLM-5.2 · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

4 shared

GLM-5.2 outperforms in 4 benchmarks (GPQA, Humanity's Last Exam, MCP Atlas, Terminal-Bench 2.1), while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 0 benchmarks.

GLM-5.2 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

679.0B diff

GLM-5.2 has 679.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 917.6% larger.

Zhipu AI
GLM-5.2
753.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
753.0B
GLM-5.2
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only GLM-5.2 specifies input context (1,048,576 tokens). Only GLM-5.2 specifies output context (1,048,576 tokens).

Zhipu AI
GLM-5.2
Input1,048,576 tokens
Output1,048,576 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Mon Oct 19 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Nemotron 3.5 Bolt (74B A9B 24GB) supports multimodal inputs, whereas GLM-5.2 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-5.2

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.2 is licensed under MIT, 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-5.2

MIT

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-5.2 was released on 2026-06-16, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 4 months newer than GLM-5.2.

GLM-5.2

Jun 16, 2026

4 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

4mo 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-5.2'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-5.2's cutoff date.

GLM-5.2

—

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-5.2 and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GLM-5.2
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GLM-5.2 vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GLM-5.2 or Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5.2 leads the LLM Stats Score 44.8 to 29.9. GLM-5.2 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-5.2 compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GLM-5.2 scores AIME 2026: 99.2%, HMMT 2025: 94.4%, HMMT Feb 26: 92.5%, GPQA: 91.2%, IMO-AnswerBench: 91.0%. 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-5.2 and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5.2 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-5.2 and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (44.8 vs 29.9), multimodal support (no vs yes), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.2 and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5.2 is developed by Zhipu AI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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