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GLM-5.3 vs Nemotron Nano 9B v2

Comparing GLM-5.3 and Nemotron Nano 9B v2 across benchmarks, pricing, and capabilities.

Zhipu AI · NVIDIA · Updated for 2026

Which is better?

GLM-5.3 and Nemotron Nano 9B v2 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you want the most recent training data — it shipped Aug 2026

Choose Nemotron Nano 9B v2

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Nemotron Nano 9B v2
NVIDIA
Benchmark wins
—
—
Input price
$1.40 / M
— / M
Output price
$4.40 / M
— / M
Context window
1,000,000
—
Released
Aug 2026
Aug 2025
License
Unknown
NVIDIA Open Model License Agreement

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Nemotron Nano 9B v2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

744.1B diff

GLM-5.3 has 744.1B more parameters than Nemotron Nano 9B v2, making it 8360.7% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
753.0B
GLM-5.3
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

Only GLM-5.3 specifies input context (1,000,000 tokens). Only GLM-5.3 specifies output context (128,000 tokens).

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Nemotron Nano 9B v2 was released on 2025-08-18.

GLM-5.3 is 12 months newer than Nemotron Nano 9B v2.

GLM-5.3

Aug 14, 2026

1 weeks ago

12mo newer
Nemotron Nano 9B v2

Aug 18, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while GLM-5.3's cutoff date is not specified.

We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without GLM-5.3's cutoff date.

GLM-5.3

—

Nemotron Nano 9B v2

Sep 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GLM-5.3 and Nemotron Nano 9B v2 side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Nemotron Nano 9B v2
Open in Playground

FAQ

Common questions about GLM-5.3 vs Nemotron Nano 9B v2.

Which is better, GLM-5.3 or Nemotron Nano 9B v2?

GLM-5.3 (Zhipu AI) and Nemotron Nano 9B v2 (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3 compare to Nemotron Nano 9B v2 in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the context window sizes for GLM-5.3 and Nemotron Nano 9B v2?

GLM-5.3 supports 1.0M tokens and Nemotron Nano 9B v2 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-5.3 and Nemotron Nano 9B v2?

Key differences include licensing (Unknown vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Nemotron Nano 9B v2?

GLM-5.3 is developed by Zhipu AI and Nemotron Nano 9B v2 is developed by NVIDIA.

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