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Model Comparison

GLM-4.6 vs Llama 3.1 Nemotron Nano 8B V1Which is better in 2026?

GLM-4.6 significantly outperforms across most benchmarks.

Verdict: GLM-4.6 vs Llama 3.1 Nemotron Nano 8B V1 — which is better?

GLM-4.6 (by Zhipu AI) and Llama 3.1 Nemotron Nano 8B V1 (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.

GLM-4.6 outperforms in 2 benchmarks (AIME 2025, GPQA), while Llama 3.1 Nemotron Nano 8B V1 is better at 0 benchmarks. GLM-4.6 significantly outperforms across most benchmarks.

Choose GLM-4.6 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Choose Llama 3.1 Nemotron Nano 8B V1 if…

  • you are already invested in the NVIDIA ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-4.6 outperforms in 2 benchmarks (AIME 2025, GPQA), while Llama 3.1 Nemotron Nano 8B V1 is better at 0 benchmarks.

GLM-4.6 significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

349.0B diff

GLM-4.6 has 349.0B more parameters than Llama 3.1 Nemotron Nano 8B V1, making it 4362.5% larger.

Zhipu AI
GLM-4.6
357.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
357.0B
GLM-4.6
8.0B
Llama 3.1 Nemotron Nano 8B V1

Context Window

Maximum input and output token capacity

Only GLM-4.6 specifies input context (131,072 tokens). Only GLM-4.6 specifies output context (131,072 tokens).

Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
Input- tokens
Output- tokens
Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.6 supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 does not.

GLM-4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.6

Text
Images
Audio
Video

Llama 3.1 Nemotron Nano 8B V1

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.6 is licensed under MIT, while Llama 3.1 Nemotron Nano 8B V1 uses Llama 3.1 Community License.

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

GLM-4.6

MIT

Open weights

Llama 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

GLM-4.6 is 7 months newer than Llama 3.1 Nemotron Nano 8B V1.

GLM-4.6

Sep 30, 2025

10 months ago

6mo newer
Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Nano 8B V1 has a documented knowledge cutoff of 2023-12-31, while GLM-4.6's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Nano 8B V1's training data extends to 2023-12-31, but cannot make a direct comparison without GLM-4.6's cutoff date.

GLM-4.6

—

Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

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Key Takeaways

Zhipu AI
Larger context window (131,072 tokens)
Supports multimodal inputs
Higher AIME 2025 score (93.9% vs 47.1%)
Higher GPQA score (81.0% vs 54.1%)
NVIDIA

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-4.6 and Llama 3.1 Nemotron Nano 8B V1 side-by-side, then vote on the output you prefer.

GLM-4.6
✓ Preferred
Llama 3.1 Nemotron Nano 8B V1
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.6
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

Common questions about GLM-4.6 vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, GLM-4.6 or Llama 3.1 Nemotron Nano 8B V1?

GLM-4.6 significantly outperforms across most benchmarks. GLM-4.6 is made by Zhipu AI and Llama 3.1 Nemotron Nano 8B V1 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.6 compare to Llama 3.1 Nemotron Nano 8B V1 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%. Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.

What are the context window sizes for GLM-4.6 and Llama 3.1 Nemotron Nano 8B V1?

GLM-4.6 supports 131K tokens and Llama 3.1 Nemotron Nano 8B V1 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 Llama 3.1 Nemotron Nano 8B V1?

Key differences include multimodal support (yes vs no), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.6 and Llama 3.1 Nemotron Nano 8B V1?

GLM-4.6 is developed by Zhipu AI and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.

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