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GLM 4 32B vs Nemotron 3.5 Content Safety (free)

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Z Ai

Model

GLM 4 32B

Tool calling

Context window

128K

128,000 tokens · ~96K words

Model page
Nvidia

Model

Nemotron 3.5 Content Safety (free)

Image input

Context window

128K

128,000 tokens · ~96K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

GLM 4 32B128K
Nemotron 3.5 Content Safety (free)128K

Same context window size for both models.

GLM 4 32B and Nemotron 3.5 Content Safety (free) have identical context windows (128K tokens).

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecGLM 4 32BNemotron 3.5 Content Safety (free)
Context window128,000 tokens (128K)128,000 tokens (128K)
Max output tokensN/A8,192 tokens (8K)
Speed tierBalancedBalanced
VisionNoYes
Function callingYesNo
Extended thinkingNoYes
Prompt cachingNoNo
Batch APINoNo
Release dateJul 2025Jun 2026

Frequently asked questions

Nemotron 3.5 Content Safety (free) has a larger context window: 128K tokens vs 128K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model