Context Window

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Gemini Robotics Er 1 5 Preview vs Gpt 5 1 Chat Latest

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 Robotics Er 1 5 Preview

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Openai

Model

Gpt 5 1 Chat Latest

Image input

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.

Gemini Robotics Er 1 5 Preview1.0M
Gpt 5 1 Chat Latest128K

Gemini Robotics Er 1 5 Preview has about 8.2× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini Robotics Er 1 5 Preview has 719% more context capacity (1048K vs 128K tokens). Gemini Robotics Er 1 5 Preview is 76% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemini Robotics Er 1 5 Preview. Its 1048K context fits entire documents without chunking (vs 128K).

  • RAG / high-volume retrieval

    Use Gemini Robotics Er 1 5 Preview. Input tokens are 76% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gemini Robotics Er 1 5 Preview. Its 65K 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 Robotics Er 1 5 PreviewGpt 5 1 Chat Latest
Context window1,048,576 tokens (1048K)128,000 tokens (128K)
Max output tokens65,535 tokens (65K)16,384 tokens (16K)
Speed tierFastBalanced
VisionYesYes
Function callingYesNo
Extended thinkingYesYes
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 Robotics Er 1 5 Preview inGemini Robotics Er 1 5 Preview outGpt 5 1 Chat Latest inGpt 5 1 Chat Latest out
Google$0.300/M$2.50/M——
Google Vertex$0.300/M$2.50/M——
Openai——$1.25/M$10.00/M

Frequently asked questions

Gemini Robotics Er 1 5 Preview has a larger context window: 1048K 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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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.

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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