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GLM-4.5V vs Nemotron 3.5 Bolt (74B A9B 24GB)

Comparing GLM-4.5V and Nemotron 3.5 Bolt (74B A9B 24GB) across benchmarks, pricing, and capabilities.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-4.5V and Nemotron 3.5 Bolt (74B A9B 24GB) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5V

  • you want predictable pricing at $0.55/M input and $2.19/M output

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-4.5V
Zhipu AI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Benchmark wins
—
—
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
—

Individual benchmarks

0 reported for GLM-4.5V · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

No common benchmarks found

GLM-4.5V and Nemotron 3.5 Bolt (74B A9B 24GB)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

34.0B diff

GLM-4.5V has 34.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 45.9% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
108.0B
GLM-4.5V
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only GLM-4.5V specifies input context (131,072 tokens). Only GLM-4.5V specifies output context (131,072 tokens).

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-4.5V 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-4.5V

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V 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-4.5V

MIT

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 14 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

1.2 years ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

5 days ago

1.2yr 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-4.5V'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-4.5V's cutoff date.

GLM-4.5V

—

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-4.5V and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GLM-4.5V
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GLM-4.5V vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GLM-4.5V or Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.5V (Zhipu AI) and Nemotron 3.5 Bolt (74B A9B 24GB) (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-4.5V compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

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-4.5V and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.5V supports 131K 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-4.5V and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5V and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.5V is developed by Zhipu AI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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