Context Window

Compare

GLM 4.7 Flash vs Hermes 4 405B

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 Flash

Image inputTool calling

Context window

200K

200,000 tokens · ~150K words

Model page
Nous Research

Model

Hermes 4 405B

Context window

131K

131,072 tokens · ~98K 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 4.7 Flash200K
Hermes 4 405B131K

GLM 4.7 Flash has about 1.5× the context window of the other in this pair.

Token calculator →Memory savings →

GLM 4.7 Flash has 52% more context capacity (200K vs 131K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GLM 4.7 Flash. Its 200K context fits entire documents without chunking (vs 131K).

  • Long output (reports, code files)

    Use Hermes 4 405B. Its 117K 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 4.7 FlashHermes 4 405B
Context window200,000 tokens (200K)131,072 tokens (131K)
Max output tokens32,000 tokens (32K)117,964 tokens (117K)
Speed tierFastDeep
VisionYesNo
Function callingYesNo
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateJan 2026Aug 2025

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 Flash inGLM 4.7 Flash outHermes 4 405B inHermes 4 405B out
Cloudflare$0.060/M$0.400/M——
Deepinfra$0.060/M$0.400/M——
Nebius——$1.00/M$3.00/M
Novita$0.070/M$0.400/M——
Openrouter$0.060/M$0.400/M$1.00/M$3.00/M
Z Ai————

Frequently asked questions

GLM 4.7 Flash has a larger context window: 200K tokens vs 131K. 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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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
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