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Gemini Omni 1.1 Flash vs o4-mini Deep Research

Pricing verdict: Gemini Omni 1.1 Flash vs o4-mini Deep Research: Gemini Omni 1.1 Flash is cheaper for input-heavy usage ($1.50/M vs $2.00/M input tokens), while Gemini Omni 1.1 Flash is better for long-context tasks (1,048,576 tokens).

Direct answer: choose Gemini Omni 1.1 Flash for lower token spend and choose Gemini Omni 1.1 Flash when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Google
Gemini Omni 1.1 Flash
vs
OpenAI
o4-mini Deep Research

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini Omni 1.1 Flash

Per Request:$0.01025
Daily:$1.025
Monthly:$30.75
Yearly:$374.125

o4-mini Deep Research

Per Request:$0.006000
Daily:$0.60
Monthly:$18.00
Yearly:$219.00

Cost Differences

$0.004250
Per Request
$0.425
Daily
$12.75
Monthly
$155.125
Yearly

o4-mini Deep Research costs less than Gemini Omni 1.1 Flash

Quick Recommendation

Winner for direct API pricing: o4-mini Deep Research. At the default workload, o4-mini Deep Research saves about $12.75/month ($155.125/year) versus Gemini Omni 1.1 Flash.

Feature Comparison

FeatureGemini Omni 1.1 Flasho4-mini Deep Research
ProviderGoogleOpenAI
Input Price$1.50/1M tokens$2.00/1M tokens
Output Price$17.50/1M tokens$8.00/1M tokens
Context Window1,048,576 tokens200,000 tokens
Max Output57,920 tokens32,768 tokens
Categoryflagshipreasoning
Capabilities
textvisionaudiovideo
textreasoningcode
Release Date8/27/20266/26/2025

Gemini Omni 1.1 Flash vs o4-mini Deep Research: Which Should You Choose?

Choosing between Gemini Omni 1.1 Flash and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Gemini Omni 1.1 Flash is the more affordable option at $1.50/1M input tokens — 25% cheaper than o4-mini Deep Research. Meanwhile, Gemini Omni 1.1 Flash offers a significantly larger context window at 1,048,576 tokens vs 200,000 for o4-mini Deep Research.

These models come from different providers — Google and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Gemini Omni 1.1 Flash is a flagship model while o4-mini Deep Research is reasoning. This means they're optimized for different workloads. Gemini Omni 1.1 Flash is built for complex tasks that require deeper reasoning, while o4-mini Deep Research offers better value for routine operations.

Output costs matter too. Gemini Omni 1.1 Flash charges $17.50/1M output tokens vs $8.00 for o4-mini Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o4-mini Deep Research has the edge here at $8.00/1M output tokens.

Multimodal capabilities: Gemini Omni 1.1 Flash supports vision (image inputs) while o4-mini Deep Research is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini Omni 1.1 Flash when:

  • • Budget is a primary concern
  • • You need a larger context window (1,048,576 tokens)
  • • You need more capabilities (vision, audio, video)
  • • You need longer outputs (up to 57,920 tokens)
  • • You're already using Google's API ecosystem

Choose o4-mini Deep Research when:

  • • You're already using OpenAI's API ecosystem

Pros and Caveats at a Glance

Gemini Omni 1.1 Flash

  • Input pricing: $1.50/M tokens
  • Output pricing: $17.50/M tokens
  • Context window: 1,048,576 tokens
  • Max output: 57,920 tokens

Watch out for

  • Higher output cost than o4-mini Deep Research

o4-mini Deep Research

  • Input pricing: $2.00/M tokens
  • Output pricing: $8.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Gemini Omni 1.1 Flash
  • Smaller context window than Gemini Omni 1.1 Flash

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini Omni 1.1 Flash (Google)

o4-mini Deep Research (OpenAI)

Start using Gemini Omni 1.1 Flash today

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Start using o4-mini Deep Research today

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Frequently Asked Questions

Which is cheaper, Gemini Omni 1.1 Flash or o4-mini Deep Research?
Gemini Omni 1.1 Flash is cheaper for input tokens at $1.50 per million tokens vs $2.00 for o4-mini Deep Research — that's 25% savings on input costs.
What is the context window difference between Gemini Omni 1.1 Flash and o4-mini Deep Research?
Gemini Omni 1.1 Flash supports 1,048,576 tokens while o4-mini Deep Research supports 200,000 tokens — a difference of 848,576 tokens in favor of Gemini Omni 1.1 Flash.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, o4-mini Deep Research is the lower-cost option, while Gemini Omni 1.1 Flash offers a larger context window (1,048,576 vs 200,000 tokens). Choose o4-mini Deep Research for budget sensitivity or Gemini Omni 1.1 Flash for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini Omni 1.1 Flash costs about $30.75/month and o4-mini Deep Research costs about $18.00/month. Overall, o4-mini Deep Research has lower combined input + output rates ($2.00 in, $8.00 out) vs Gemini Omni 1.1 Flash.
Where can I compare Google and OpenAI API pricing beyond this model matchup?
See the Google vs OpenAI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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