Context Window

Compare

Claude Haiku Latest vs Glm 5p3

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 Haiku Latest

Image inputTool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Z Ai

Model

Glm 5p3

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 Haiku Latest200K
Glm 5p31.0M

Glm 5p3 has about 5.2× the context window of the other in this pair.

Token calculator →Memory savings →

Glm 5p3 has 424% more context capacity (1048K vs 200K tokens). Claude Haiku Latest is 28% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Glm 5p3. Its 1048K context fits entire documents without chunking (vs 200K).

  • RAG / high-volume retrieval

    Use Claude Haiku Latest. Input tokens are 28% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Glm 5p3. 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.

SpecClaude Haiku LatestGlm 5p3
Context window200,000 tokens (200K)1,048,576 tokens (1048K)
Max output tokens64,000 tokens (64K)128,000 tokens (128K)
Speed tierFastBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesNo
Release dateApr 2026N/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 Haiku Latest inClaude Haiku Latest outGlm 5p3 inGlm 5p3 out
Fireworks——$1.40/M$4.40/M
Openrouter$1.00/M$5.00/M——

Frequently asked questions

Glm 5p3 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.

Calculate your savingsLearn about Mem0

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