GLM-5.3 vs Nemotron 3 Nano (30B A3B)
GLM-5.3 significantly outperforms across most benchmarks. Nemotron 3 Nano (30B A3B) is 20.5x cheaper per token.
Zhipu AI · NVIDIA · Updated for 2026
Which is better?
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while Nemotron 3 Nano (30B A3B) is better at 0 benchmarks. GLM-5.3 significantly outperforms across most benchmarks.
On price, Nemotron 3 Nano (30B A3B) is roughly 20.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Nemotron 3 Nano (30B A3B)
- cost matters — it's about 20.5x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 outperforms in 1 benchmarks (Humanity's Last Exam), while Nemotron 3 Nano (30B A3B) is better at 0 benchmarks.
GLM-5.3 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.40/1M tokens) is 23.3x more expensive than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 18.3x more expensive than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).
In conclusion, GLM-5.3 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-5.3 has 721.0B more parameters than Nemotron 3 Nano (30B A3B), making it 2253.1% larger.
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,000,000 input tokens compared to Nemotron 3 Nano (30B A3B)'s 262,144 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while GLM-5.3 is limited to 128,000 tokens.
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Nemotron 3 Nano (30B A3B) was released on 2025-12-15.
GLM-5.3 is 8 months newer than Nemotron 3 Nano (30B A3B).
Aug 14, 2026
1 weeks ago
8mo newerDec 15, 2025
8 months ago
Knowledge Cutoff
When training data ends
Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while GLM-5.3'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-5.3's cutoff date.
—
Nov 2025
Provider Availability
GLM-5.3 is available from ZAI. Nemotron 3 Nano (30B A3B) is available from DeepInfra.
GLM-5.3
Nemotron 3 Nano (30B A3B)
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Nemotron 3 Nano (30B A3B) side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Nemotron 3 Nano (30B A3B).