Model Comparison

GLM-5 vs Nemotron Nano 9B v2Which is better in 2026?

Comparing GLM-5 and Nemotron Nano 9B v2 across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Nemotron Nano 9B v2 — which is better?

GLM-5 (by Zhipu AI) and Nemotron Nano 9B v2 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose GLM-5 if…

  • you want the most recent training data — it shipped Feb 2026

Choose Nemotron Nano 9B v2 if…

  • you are already invested in the NVIDIA ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Nemotron Nano 9B v2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

735.1B diff

GLM-5 has 735.1B more parameters than Nemotron Nano 9B v2, making it 8259.6% larger.

Zhipu AI
GLM-5
744.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
744.0B
GLM-5
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Nemotron Nano 9B v2 was released on 2025-08-18.

GLM-5 is 6 months newer than Nemotron Nano 9B v2.

GLM-5

Feb 11, 2026

3 months ago

5mo newer
Nemotron Nano 9B v2

Aug 18, 2025

9 months ago

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while GLM-5's cutoff date is not specified.

We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
NVIDIA

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about GLM-5 vs Nemotron Nano 9B v2.

Which is better, GLM-5 or Nemotron Nano 9B v2?

GLM-5 (Zhipu AI) and Nemotron Nano 9B v2 (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-5 compare to Nemotron Nano 9B v2 in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for GLM-5 and Nemotron Nano 9B v2?

GLM-5 supports 200K tokens and Nemotron Nano 9B v2 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 and Nemotron Nano 9B v2?

Key differences include licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Nemotron Nano 9B v2?

GLM-5 is developed by Zhipu AI and Nemotron Nano 9B v2 is developed by NVIDIA.

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