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

GLM-5.3-Flash leads the LLM Stats Score 48.6 to 29.9.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-5.3-Flash leads the overall LLM Stats Score 48.6 to 29.9, ranking #28 overall.

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

  • overall performance matters — it scores 48.6 and ranks #28 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-Flash
Zhipu AI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
48.6
#28
29.9
#142
Reasoning
47.8
#22
29.2
#143
Coding
31.3
#55
14.8
#151
Agents
34.7
#27
12.4
#124
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.15 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-5.3-Flash
Nemotron 3.5 Bolt (74B A9B 24GB)
Tool use
29.0#18
5.6#168
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

2 shared

GLM-5.3-Flash 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-Flash significantly outperforms across most benchmarks.

Wed Oct 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

246.0B diff

GLM-5.3-Flash has 246.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 332.4% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
320.0B
GLM-5.3-Flash
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output1,048,576 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Wed Oct 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-5.3-Flash and Nemotron 3.5 Bolt (74B A9B 24GB) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash 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-5.3-Flash

MIT

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, 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-Flash.

GLM-5.3-Flash

Aug 26, 2026

1 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

1mo 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-Flash'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-Flash's cutoff date.

GLM-5.3-Flash

—

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

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

FAQ

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

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

GLM-5.3-Flash leads the LLM Stats Score 48.6 to 29.9. GLM-5.3-Flash 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-Flash compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. 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-5.3-Flash and Nemotron 3.5 Bolt (74B A9B 24GB)?

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

Key differences include LLM Stats Score (48.6 vs 29.9), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

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

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

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