Context Window

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Gemini Omni Flash Preview vs GPT-3.5 Turbo (older v0613)

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 Omni Flash Preview

Image input

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Openai

Model

GPT-3.5 Turbo (older v0613)

Tool calling

Context window

4K

4,095 tokens · ~3K 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 Omni Flash Preview1.0M
GPT-3.5 Turbo (older v0613)4K

Gemini Omni Flash Preview has about 256.1× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini Omni Flash Preview has 25506% more context capacity (1048K vs 4K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemini Omni Flash Preview. Its 1048K context fits entire documents without chunking (vs 4K).

  • Long output (reports, code files)

    Use Gemini Omni Flash 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 Omni Flash PreviewGPT-3.5 Turbo (older v0613)
Context window1,048,576 tokens (1048K)4,095 tokens (4K)
Max output tokens65,535 tokens (65K)4,096 tokens (4K)
Speed tierFastBalanced
VisionYesNo
Function callingNoYes
Extended thinkingYesNo
Prompt cachingNoNo
Batch APINoYes
Release dateN/AJan 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 Omni Flash Preview inGemini Omni Flash Preview outGPT-3.5 Turbo (older v0613) inGPT-3.5 Turbo (older v0613) out
Google$1.50/M$9.00/M——
Google Vertex$1.50/M$9.00/M——

Frequently asked questions

Gemini Omni Flash Preview has a larger context window: 1048K tokens vs 4K. 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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Example: a multi-turn chat session

Without Mem0~128K tokens sent
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Repeated info
Old context
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