Model Comparison

GLM-5 vs Nemotron 3 Nano (30B A3B)

GLM-5 significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 14.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Nemotron 3 Nano (30B A3B) is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nemotron 3 Nano (30B A3B) costs less

For input processing, GLM-5 ($1.00/1M tokens) is 16.7x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 13.3x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, GLM-5 is more expensive than Nemotron 3 Nano (30B A3B).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

712.0B diff

GLM-5 has 712.0B more parameters than Nemotron 3 Nano (30B A3B), making it 2225.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
744.0B
GLM-5
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to GLM-5's 200,000 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Tue Apr 07 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Nemotron 3 Nano (30B A3B) 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 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.

GLM-5 is 2 months newer than Nemotron 3 Nano (30B A3B).

GLM-5

Feb 11, 2026

1 months ago

1mo newer
Nemotron 3 Nano (30B A3B)

Dec 15, 2025

3 months ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while GLM-5's cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

—

Nemotron 3 Nano (30B A3B)

Nov 2025

Provider Availability

GLM-5 is available from ZAI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Higher SWE-Bench Verified score (77.8% vs 38.8%)
NVIDIA
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about GLM-5 vs Nemotron 3 Nano (30B A3B)

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Nemotron 3 Nano (30B A3B) is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.
Nemotron 3 Nano (30B A3B) is 16.7x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.
GLM-5 supports 200K tokens and Nemotron 3 Nano (30B A3B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 262K), input pricing ($1.00 vs $0.06/M), licensing (MIT vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.