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GLM 4.7 vs Jp Anthropic Claude Opus 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.

Z Ai

Model

GLM 4.7

Image inputTool calling

Context window

203K

202,752 tokens · ~152K words

Model page
Anthropic

Model

Jp Anthropic Claude Opus 4 7

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K 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 4.7203K
Jp Anthropic Claude Opus 4 71M

Jp Anthropic Claude Opus 4 7 has about 4.9× the context window of the other in this pair.

Jp Anthropic Claude Opus 4 7 has 393% more context capacity (1000K vs 202K tokens). GLM 4.7 is 89% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Jp Anthropic Claude Opus 4 7. Its 1000K context fits entire documents without chunking (vs 202K).

  • RAG / high-volume retrieval

    Use GLM 4.7. Input tokens are 89% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Jp Anthropic Claude Opus 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.

SpecGLM 4.7Jp Anthropic Claude Opus 4 7
Context window202,752 tokens (202K)1,000,000 tokens (1000K)
Max output tokens64,000 tokens (64K)128,000 tokens (128K)
Speed tierBalancedDeep
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoYes
Release dateDec 2025N/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.

ProviderGLM 4.7 inGLM 4.7 outJp Anthropic Claude Opus 4 7 inJp Anthropic Claude Opus 4 7 out
Aws Bedrock$5.50/M$27.50/M
Baseten$0.600/M$2.20/M
Novita$0.600/M$2.20/M
Openrouter$0.400/M$1.50/M
Together Ai$0.450/M$2.00/M
Z Ai$0.600/M$2.20/M

Frequently asked questions

Jp Anthropic Claude Opus 4 7 has a larger context window: 1000K tokens vs 202K. 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