Question 1

Which has a larger context window, GLM 5.2 (batch) or Llama 4 Maverick?

Accepted Answer

Llama 4 Maverick has a larger context window: 1048K tokens vs 512K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Question 2

When should I use GLM 5.2 (batch) vs Llama 4 Maverick?

Accepted Answer

Choose based on your primary constraint. If you need maximum context capacity, pick the model with the larger window. If cost is your main concern, compare input/output pricing for your expected token ratio. For latency-sensitive applications, check the speed tier of each model.

Question 3

Can Mem0 reduce the context I need for GLM 5.2 (batch) or Llama 4 Maverick?

Accepted Answer

Yes. Mem0's persistent memory layer stores user preferences, past decisions, and frequently referenced context outside the model's context window. Instead of replaying full conversation history, only relevant facts are injected — typically reducing input tokens by 70–90%. This makes even smaller context windows practical for long-running applications.

Spec	GLM 5.2 (batch)	Llama 4 Maverick
Context window	512,000 tokens (512K)	1,048,576 tokens (1048K)
Max output tokens	N/A	16,384 tokens (16K)
Speed tier	Balanced	Balanced
Vision	No	Yes
Function calling	Yes	Yes
Extended thinking	Yes	No
Prompt caching	Yes	No
Batch API	No	No
Release date	Jun 2026	Apr 2025

GLM 5.2 (batch) vs Llama 4 Maverick

GLM 5.2 (batch)

Llama 4 Maverick

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