Context Window

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Claude Sonnet 5 5:batch vs GLM 5

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 Sonnet 5 5:batch

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Z Ai

Model

GLM 5

Tool calling

Context window

203K

202,752 tokens · ~152K 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 Sonnet 5 5:batch1M
GLM 5203K

Claude Sonnet 5 5:batch has about 4.9× the context window of the other in this pair.

Token calculator →Memory savings →

Claude Sonnet 5 5:batch has 393% more context capacity (1000K vs 202K tokens). GLM 5 is 0% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude Sonnet 5 5:batch. Its 1000K context fits entire documents without chunking (vs 202K).

Full specs

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

SpecClaude Sonnet 5 5:batchGLM 5
Context window1,000,000 tokens (1000K)202,752 tokens (202K)
Max output tokens128,000 tokens (128K)128,000 tokens (128K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesNo
Release dateN/AFeb 2026

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 Sonnet 5 5:batch inClaude Sonnet 5 5:batch outGLM 5 inGLM 5 out
Baseten——$0.950/M$3.15/M
Deepinfra——$0.600/M$2.08/M
Novita——$1.20/M$4.00/M
Openrouter$1.00/M$5.00/M$0.600/M$1.92/M
Together Ai——$1.00/M$3.20/M
Z Ai——$1.00/M$3.20/M

Frequently asked questions

Claude Sonnet 5 5:batch 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.

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