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GLM-4.7-Flash vs Nemotron 3.5 Bolt (74B A9B 24GB)

GLM-4.7-Flash and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched at 23.2 and 29.9 on the LLM Stats Score.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-4.7-Flash and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the overall LLM Stats Score at 23.2 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-4.7-Flash

  • you want predictable pricing at $0.07/M input and $0.40/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-4.7-Flash
Zhipu AI
Nemotron 3.5 Bolt (74B A9B 24GB)
NVIDIA
Core performance indexes
LLM Stats Score
23.2
#199
29.9
#142
Reasoning
23.2
#187
29.2
#143
Coding
3.8
#235
14.8
#151
Agents
4.3
#177
12.4
#124
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$0.07 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.7-Flash
Nemotron 3.5 Bolt (74B A9B 24GB)
Math
20.8#164
23.6#135
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for GLM-4.7-Flash · 10 for Nemotron 3.5 Bolt (74B A9B 24GB)

3 shared

GLM-4.7-Flash 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.

Mon Oct 19 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

44.0B diff

Nemotron 3.5 Bolt (74B A9B 24GB) has 44.0B more parameters than GLM-4.7-Flash, making it 146.7% larger.

Zhipu AI
GLM-4.7-Flash
30.0Bparameters
NVIDIA
Nemotron 3.5 Bolt (74B A9B 24GB)
74.0Bparameters
30.0B
GLM-4.7-Flash
74.0B
Nemotron 3.5 Bolt (74B A9B 24GB)

Context Window

Maximum input and output token capacity

Only GLM-4.7-Flash specifies input context (128,000 tokens). Only GLM-4.7-Flash specifies output context (16,384 tokens).

Zhipu AI
GLM-4.7-Flash
Input128,000 tokens
Output16,384 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-4.7-Flash 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-4.7-Flash

Text
Images
Audio
Video

Nemotron 3.5 Bolt (74B A9B 24GB)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.7-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-4.7-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-4.7-Flash was released on 2026-01-19, while Nemotron 3.5 Bolt (74B A9B 24GB) was released on 2026-10-15.

Nemotron 3.5 Bolt (74B A9B 24GB) is 9 months newer than GLM-4.7-Flash.

GLM-4.7-Flash

Jan 19, 2026

9 months ago

Nemotron 3.5 Bolt (74B A9B 24GB)

Oct 15, 2026

4 days ago

8mo 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-4.7-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-4.7-Flash's cutoff date.

GLM-4.7-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-4.7-Flash and Nemotron 3.5 Bolt (74B A9B 24GB) side-by-side, then vote on the output you prefer.

GLM-4.7-Flash
✓ Preferred
Nemotron 3.5 Bolt (74B A9B 24GB)
Open in Playground

FAQ

Common questions about GLM-4.7-Flash vs Nemotron 3.5 Bolt (74B A9B 24GB).

Which is better, GLM-4.7-Flash or Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.7-Flash and Nemotron 3.5 Bolt (74B A9B 24GB) are closely matched on the LLM Stats Score at 23.2 and 29.9. GLM-4.7-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-4.7-Flash compare to Nemotron 3.5 Bolt (74B A9B 24GB) in benchmarks?

GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%. 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-4.7-Flash and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.7-Flash supports 128K 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-4.7-Flash and Nemotron 3.5 Bolt (74B A9B 24GB)?

Key differences include LLM Stats Score (23.2 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-4.7-Flash and Nemotron 3.5 Bolt (74B A9B 24GB)?

GLM-4.7-Flash is developed by Zhipu AI and Nemotron 3.5 Bolt (74B A9B 24GB) is developed by NVIDIA.

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