Context Window

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GLM 5.1 vs Glm 5p3 Flash Us

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 5.1

Tool calling

Context window

203K

202,752 tokens · ~152K words

Model page
Z Ai

Model

Glm 5p3 Flash Us

Image inputTool 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.

GLM 5.1203K
Glm 5p3 Flash Us1.0M

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

Token calculator →Memory savings →

Glm 5p3 Flash Us has 417% more context capacity (1048K vs 202K tokens). Glm 5p3 Flash Us is 83% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Glm 5p3 Flash Us. Its 1048K context fits entire documents without chunking (vs 202K).

  • RAG / high-volume retrieval

    Use Glm 5p3 Flash Us. Input tokens are 83% cheaper — critical when sending large retrieved contexts.

Full specs

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

SpecGLM 5.1Glm 5p3 Flash Us
Context window202,752 tokens (202K)1,048,576 tokens (1048K)
Max output tokens131,072 tokens (131K)N/A
Speed tierBalancedFast
VisionNoYes
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
Batch APINoNo
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.

ProviderGLM 5.1 inGLM 5.1 outGlm 5p3 Flash Us inGlm 5p3 Flash Us out
Alibaba Cloud$1.40/M$4.40/M——
Deepinfra$1.05/M$3.50/M——
Fireworks——$0.225/M$0.750/M
Friendliai$1.40/M$4.40/M——
Nebius$1.40/M$4.40/M——
Novita$1.38/M$4.40/M——
Openrouter$0.966/M$3.04/M——
Together Ai$1.40/M$4.40/M——
Z Ai$1.40/M$4.40/M——

Frequently asked questions

Glm 5p3 Flash Us has a larger context window: 1048K 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.

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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