Context Window

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Gemini Robotics Er 1 5 Preview vs Llama 3 70B Instruct

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
Meta

Model

Llama 3 70B Instruct

Context window

8K

8,192 tokens · ~6K 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
Llama 3 70B Instruct8K

Gemini Robotics Er 1 5 Preview has about 128× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini Robotics Er 1 5 Preview has 12700% more context capacity (1048K vs 8K tokens). Gemini Robotics Er 1 5 Preview is 41% 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 8K).

  • RAG / high-volume retrieval

    Use Gemini Robotics Er 1 5 Preview. Input tokens are 41% 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 PreviewLlama 3 70B Instruct
Context window1,048,576 tokens (1048K)8,192 tokens (8K)
Max output tokens65,535 tokens (65K)8,000 tokens (8K)
Speed tierFastDeep
VisionYesNo
Function callingYesNo
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateN/AApr 2024

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 outLlama 3 70B Instruct inLlama 3 70B Instruct out
Google$0.300/M$2.50/M——
Google Vertex$0.300/M$2.50/M——
Novita——$0.510/M$0.740/M
Openrouter——$0.590/M$0.790/M
Replicate——$0.650/M$2.75/M

Frequently asked questions

Gemini Robotics Er 1 5 Preview has a larger context window: 1048K tokens vs 8K. 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