Context Window

Compare

Qwen2.5 72B Instruct vs Zai Glm 4 7

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.

Alibaba

Model

Qwen2.5 72B Instruct

Tool calling

Context window

32K

32,000 tokens · ~24K words

Model page
Z Ai

Model

Zai Glm 4 7

Tool calling

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.

Qwen2.5 72B Instruct32K
Zai Glm 4 7128K

Zai Glm 4 7 has about 4× the context window of the other in this pair.

Token calculator →Memory savings →

Zai Glm 4 7 has 300% more context capacity (128K vs 32K tokens). Qwen2.5 72B Instruct is 36% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Zai Glm 4 7. Its 128K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Qwen2.5 72B Instruct. Input tokens are 36% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Zai Glm 4 7. Its 128K max output lets you generate complete artifacts in one request.

Full specs

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

SpecQwen2.5 72B InstructZai Glm 4 7
Context window32,000 tokens (32K)128,000 tokens (128K)
Max output tokens8,192 tokens (8K)128,000 tokens (128K)
Speed tierDeepBalanced
VisionNoNo
Function callingYesYes
Extended thinkingNoYes
Prompt cachingNoNo
Batch APINoNo
Release dateSep 2024N/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderQwen2.5 72B Instruct inQwen2.5 72B Instruct outZai Glm 4 7 inZai Glm 4 7 out
Aws Bedrock——$0.600/M$2.20/M
Cerebras——$2.25/M$2.75/M
Novita$0.380/M$0.400/M——

Frequently asked questions

Zai Glm 4 7 has a larger context window: 128K tokens vs 32K. 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.

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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