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GLM-5V-Turbo vs Nemotron 3.5 Bolt (74B A9B 24GB)

GLM-5V-Turbo and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched at 30.0 and 29.6 on the LLM Stats Score.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-5V-Turbo and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the overall LLM Stats Score at 30.0 and 29.6.

In the 1 individual benchmarks reported for both models, Nemotron 3.5 Bolt (74B A9B 24GB) wins 1; 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-5V-Turbo

  • you want predictable pricing at $1.20/M input and $4.00/M output

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5V-Turbo
Zhipu AI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
30.0
#142
29.6
#146
Reasoning
7.7
#302
28.9
#146
Coding
22.5
#98
14.4
#154
Agents
18.4
#89
11.9
#127
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$1.20 / M
— / M
Output price
$4.00 / M
— / M
Context window
200,000
—

Individual benchmarks

19 reported for GLM-5V-Turbo · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

1 shared

GLM-5V-Turbo outperforms in 0 benchmarks, while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 1 benchmark (PinchBench).

Nemotron 3.5 Bolt (74B A9B 24GB) significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GLM-5V-Turbo specifies input context (200,000 tokens). Only GLM-5V-Turbo specifies output context (128,000 tokens).

Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 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

Both GLM-5V-Turbo 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-5V-Turbo

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5V-Turbo is licensed under a proprietary 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-5V-Turbo

Proprietary

Closed source

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-5V-Turbo was released on 2026-04-02, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 7 months newer than GLM-5V-Turbo.

GLM-5V-Turbo

Apr 2, 2026

6 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

1 weeks ago

6mo 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-5V-Turbo'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-5V-Turbo's cutoff date.

GLM-5V-Turbo

—

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-5V-Turbo and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GLM-5V-Turbo
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GLM-5V-Turbo vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GLM-5V-Turbo or Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5V-Turbo and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the LLM Stats Score at 30.0 and 29.6. GLM-5V-Turbo 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-5V-Turbo compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%. 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-5V-Turbo and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5V-Turbo supports 200K 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-5V-Turbo and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (30.0 vs 29.6), licensing (Proprietary vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5V-Turbo and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-5V-Turbo is developed by Zhipu AI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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