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GLM-4.6 vs Nemotron 3.5 Bolt (74B A9B 24GB)

GLM-4.6 and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched at 28.7 and 29.9 on the LLM Stats Score.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-4.6 and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the overall LLM Stats Score at 28.7 and 29.9.

In the 3 individual benchmarks reported for both models, Nemotron 3.5 Bolt (74B A9B 24GB) wins 3; 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-4.6

  • you want predictable pricing at $0.50/M input and $2.00/M output

Choose Nemotron 3.5 Bolt (74B A9B 24GB)

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GLM-4.6
Zhipu AI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
28.7
#154
29.9
#142
Reasoning
28.7
#147
29.2
#143
Coding
14.6
#152
14.8
#151
Agents
9.1
#148
12.4
#124
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.50 / M
— / M
Output price
$2.00 / M
— / M
Context window
202,752
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.6
Nemotron 3.5 Bolt (74B A9B 24GB)
Math
24.5#125
23.6#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for GLM-4.6 · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

3 shared

GLM-4.6 outperforms in 0 benchmarks, while Nemotron 3.5 Bolt (74B A9B 24GB) is better at 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam).

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

Tue Oct 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

283.0B diff

GLM-4.6 has 283.0B more parameters than Nemotron 3.5 Bolt (74B A9B 24GB), making it 382.4% larger.

Zhipu AI
GLM-4.6
357.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
357.0B
GLM-4.6
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only GLM-4.6 specifies input context (202,752 tokens). Only GLM-4.6 specifies output context (202,752 tokens).

Zhipu AI
GLM-4.6
Input202,752 tokens
Output202,752 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-4.6 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-4.6

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.6 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-4.6

MIT

Open weights

Nemotron 3.5 Bolt (74B A9B 24GB)

OpenMDW License v1.1

Open weights

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 13 months newer than GLM-4.6.

GLM-4.6

Sep 30, 2025

1.1 years ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

5 days ago

1.0yr 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-4.6'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-4.6's cutoff date.

GLM-4.6

—

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-4.6 and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GLM-4.6
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GLM-4.6 vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GLM-4.6 or Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.6 and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the LLM Stats Score at 28.7 and 29.9. GLM-4.6 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-4.6 compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%. 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-4.6 and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.6 supports 203K 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-4.6 and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (28.7 vs 29.9), licensing (MIT vs OpenMDW License v1.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.6 and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.6 is developed by Zhipu AI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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