Model Comparison
GLM-5 vs Nemotron 3 Super (120B A12B)Which is better in 2026?
GLM-5 significantly outperforms across most benchmarks. Nemotron 3 Super (120B A12B) is 7.8x cheaper per token.
Verdict: GLM-5 vs Nemotron 3 Super (120B A12B) — which is better?
GLM-5 (by Zhipu AI) and Nemotron 3 Super (120B A12B) (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 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while Nemotron 3 Super (120B A12B) is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.
On price, Nemotron 3 Super (120B A12B) is roughly 7.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Nemotron 3 Super (120B A12B) 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 3 of 3 shared benchmarks
Choose Nemotron 3 Super (120B A12B) if…
- cost matters — it's about 7.8x cheaper per token
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Mar 2026
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while Nemotron 3 Super (120B A12B) 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 10.0x more expensive than Nemotron 3 Super (120B A12B) ($0.10/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 6.4x more expensive than Nemotron 3 Super (120B A12B) ($0.50/1M tokens).
In conclusion, GLM-5 is more expensive than Nemotron 3 Super (120B A12B).*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5 has 624.0B more parameters than Nemotron 3 Super (120B A12B), making it 520.0% larger.
Context Window
Maximum input and output token capacity
Nemotron 3 Super (120B A12B) accepts 262,144 input tokens compared to GLM-5's 200,000 tokens. Nemotron 3 Super (120B A12B) 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 Super (120B A12B) 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 Super (120B A12B) was released on 2026-03-11.
Nemotron 3 Super (120B A12B) is 1 month newer than GLM-5.
Feb 11, 2026
4 months ago
Mar 11, 2026
3 months ago
4w newerKnowledge Cutoff
When training data ends
Nemotron 3 Super (120B A12B) has a documented knowledge cutoff of 2025-06-01, while GLM-5's cutoff date is not specified.
We can confirm Nemotron 3 Super (120B A12B)'s training data extends to 2025-06-01, but cannot make a direct comparison without GLM-5's cutoff date.
—
Jun 2025
Provider Availability
GLM-5 is available from FriendliAI, ZAI. Nemotron 3 Super (120B A12B) is available from DeepInfra.
GLM-5
Nemotron 3 Super (120B A12B)
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Detailed Comparison
| Feature | | |
|---|
FAQ
Common questions about GLM-5 vs Nemotron 3 Super (120B A12B).