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Gemini 2 5 Pro Preview Tts vs Glm 5p1

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.

Google

Model

Gemini 2 5 Pro Preview Tts

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Z Ai

Model

Glm 5p1

Context window

203K

202,800 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.

Gemini 2 5 Pro Preview Tts1.0M
Glm 5p1203K

Gemini 2 5 Pro Preview Tts has about 5.2× the context window of the other in this pair.

Gemini 2 5 Pro Preview Tts has 417% more context capacity (1048K vs 202K tokens). Gemini 2 5 Pro Preview Tts is 10% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemini 2 5 Pro Preview Tts. Its 1048K context fits entire documents without chunking (vs 202K).

  • RAG / high-volume retrieval

    Use Gemini 2 5 Pro Preview Tts. Input tokens are 10% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Glm 5p1. Its 202K 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.

SpecGemini 2 5 Pro Preview TtsGlm 5p1
Context window1,048,576 tokens (1048K)202,800 tokens (202K)
Max output tokens65,535 tokens (65K)202,800 tokens (202K)
Speed tierFastBalanced
VisionYesNo
Function callingYesNo
Extended thinkingNoYes
Prompt cachingYesYes
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.

ProviderGemini 2 5 Pro Preview Tts inGemini 2 5 Pro Preview Tts outGlm 5p1 inGlm 5p1 out
Fireworks$1.40/M$4.40/M
Google$1.25/M$10.00/M
Google Vertex$1.25/M$10.00/M

Frequently asked questions

Gemini 2 5 Pro Preview Tts 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.

Powered by Mem0

Use a smaller model.
Get better results.

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.

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