Context Window

Compare

GLM 5 vs Openai Gpt Oss 20b 1:0

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

Tool calling

Context window

203K

202,752 tokens · ~152K words

Model page
Openai

Model

Openai Gpt Oss 20b 1:0

Tool calling

Context window

128K

128,000 tokens · ~96K 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 5203K
Openai Gpt Oss 20b 1:0128K

GLM 5 has about 1.6× the context window of the other in this pair.

Token calculator →Memory savings →

GLM 5 has 58% more context capacity (202K vs 128K tokens). Openai Gpt Oss 20b 1:0 is 93% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use GLM 5. Its 202K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Openai Gpt Oss 20b 1:0. Input tokens are 93% 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 5Openai Gpt Oss 20b 1:0
Context window202,752 tokens (202K)128,000 tokens (128K)
Max output tokens128,000 tokens (128K)128,000 tokens (128K)
Speed tierBalancedBalanced
VisionNoNo
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesNo
Batch APINoNo
Release dateFeb 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 inGLM 5 outOpenai Gpt Oss 20b 1:0 inOpenai Gpt Oss 20b 1:0 out
Aws Bedrock——$0.070/M$0.300/M
Baseten$0.950/M$3.15/M——
Openrouter$0.800/M$2.56/M——
Z Ai$1.00/M$3.20/M——

Frequently asked questions

GLM 5 has a larger context window: 202K tokens vs 128K. 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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Without Mem0~128K tokens sent
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Repeated info
Old context
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