Context Window

Compare

Glm 4 7 Fp8 vs Openai Gpt 5 Nano

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 Fp8

Context window

203K

202,752 tokens · ~152K words

Model page
Openai

Model

Openai Gpt 5 Nano

Tool calling

Context window

5M

5,000,000 tokens · ~3.8M 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 Fp8203K
Openai Gpt 5 Nano5M

Openai Gpt 5 Nano has about 24.7× the context window of the other in this pair.

Token calculator →Memory savings →

Openai Gpt 5 Nano has 2366% more context capacity (5000K vs 202K tokens). Openai Gpt 5 Nano is 62% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Openai Gpt 5 Nano. Its 5000K context fits entire documents without chunking (vs 202K).

  • RAG / high-volume retrieval

    Use Openai Gpt 5 Nano. Input tokens are 62% 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 4 7 Fp8Openai Gpt 5 Nano
Context window202,752 tokens (202K)5,000,000 tokens (5000K)
Max output tokens16,384 tokens (16K)16,384 tokens (16K)
Speed tierBalancedFast
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateN/AN/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 4 7 Fp8 inGlm 4 7 Fp8 outOpenai Gpt 5 Nano inOpenai Gpt 5 Nano out
Gmi$0.400/M$2.00/M——
Snowflake——$0.150/M$0.600/M

Frequently asked questions

Openai Gpt 5 Nano has a larger context window: 5000K 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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Without Mem0~128K tokens sent
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