Compare

Claude Opus 4 5 vs Morph Glm53 744b

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.

Anthropic

Model

Claude Opus 4 5

Image inputTool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Z Ai

Model

Morph Glm53 744b

Tool calling

Context window

1.0M

1,048,576 tokens · ~786K 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.

Claude Opus 4 5200K
Morph Glm53 744b1.0M

Morph Glm53 744b has about 5.2× the context window of the other in this pair.

Morph Glm53 744b has 424% more context capacity (1048K vs 200K tokens). Morph Glm53 744b is 76% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Morph Glm53 744b. Its 1048K context fits entire documents without chunking (vs 200K).

  • RAG / high-volume retrieval

    Use Morph Glm53 744b. Input tokens are 76% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Morph Glm53 744b. Its 1048K 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.

SpecClaude Opus 4 5Morph Glm53 744b
Context window200,000 tokens (200K)1,048,576 tokens (1048K)
Max output tokens64,000 tokens (64K)1,048,576 tokens (1048K)
Speed tierDeepBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesNo
Release dateN/AN/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.

ProviderClaude Opus 4 5 inClaude Opus 4 5 outMorph Glm53 744b inMorph Glm53 744b out
Anthropic$5.00/M$25.00/M——
Aws Bedrock$5.00/M$25.00/M——
Azure$5.00/M$25.00/M——
Gmi$5.00/M$25.00/M——
Google Vertex$5.00/M$25.00/M——
Morph——$1.19/M$6.00/M
Openrouter$5.00/M$25.00/M——

Frequently asked questions

Morph Glm53 744b has a larger context window: 1048K tokens vs 200K. 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