Model Comparison
GLM-5 vs Nemotron 3 Nano (30B A3B)Which is better in 2026?
GLM-5 significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 14.8x cheaper per token.
Verdict: GLM-5 vs Nemotron 3 Nano (30B A3B) — which is better?
GLM-5 (by Zhipu AI) and Nemotron 3 Nano (30B A3B) (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-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.
On price, Nemotron 3 Nano (30B A3B) is roughly 14.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nemotron 3 Nano (30B A3B) also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose GLM-5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Feb 2026
Choose Nemotron 3 Nano (30B A3B) if…
- cost matters — it's about 14.8x cheaper per token
- you process long inputs — it offers a 262,144 token context window
Performance Benchmarks
Comparative analysis across standard metrics
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.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
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
Model Size
Parameter count comparison
GLM-5 has 712.0B more parameters than Nemotron 3 Nano (30B A3B), making it 2225.0% larger.
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.
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.
MIT
Open weights
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).
Feb 11, 2026
3 months ago
1mo newerDec 15, 2025
5 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.
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Nov 2025
Provider Availability
GLM-5 is available from FriendliAI, ZAI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.
GLM-5
Nemotron 3 Nano (30B A3B)
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about GLM-5 vs Nemotron 3 Nano (30B A3B).