Gemini Omni 1.1 Flash vs o4-mini
Pricing verdict: Gemini Omni 1.1 Flash vs o4-mini: o4-mini is cheaper for input-heavy usage ($1.10/M vs $1.50/M input tokens), while o4-mini is better for long-context tasks (2,000,000 tokens).
Direct answer: choose o4-mini for lower token spend and choose o4-mini 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini Omni 1.1 Flash
o4-mini
Cost Differences
o4-mini costs less than Gemini Omni 1.1 Flash
Quick Recommendation
Winner for direct API pricing: o4-mini. At the default workload, o4-mini saves about $20.85/month ($253.675/year) versus Gemini Omni 1.1 Flash.
Feature Comparison
| Feature | Gemini Omni 1.1 Flash | o4-mini |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $1.50/1M tokens | $1.10/1M tokens |
| Output Price | $17.50/1M tokens | $4.40/1M tokens |
| Context Window | 1,048,576 tokens | 2,000,000 tokens |
| Max Output | 57,920 tokens | 131,072 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisionaudiovideo | textreasoningcode |
| Release Date | 8/27/2026 | 4/16/2025 |
Gemini Omni 1.1 Flash vs o4-mini: Which Should You Choose?
Choosing between Gemini Omni 1.1 Flash and o4-mini depends on your priorities: cost efficiency, context length, or raw capability. o4-mini is the more affordable option at $1.10/1M input tokens — 27% cheaper than Gemini Omni 1.1 Flash. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 tokens vs 1,048,576 for Gemini Omni 1.1 Flash.
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 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 offers better value for routine operations.
Output costs matter too. Gemini Omni 1.1 Flash charges $17.50/1M output tokens vs $4.40 for o4-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o4-mini has the edge here at $4.40/1M output tokens.
Multimodal capabilities: Gemini Omni 1.1 Flash supports vision (image inputs) while o4-mini is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Gemini Omni 1.1 Flash when:
- • You need more capabilities (vision, audio, video)
- • You're already using Google's API ecosystem
Choose o4-mini when:
- • Budget is a primary concern
- • You need a larger context window (2,000,000 tokens)
- • You need longer outputs (up to 131,072 tokens)
- • 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 input cost than o4-mini
- • Higher output cost than o4-mini
- • Smaller context window than o4-mini
o4-mini
- • Input pricing: $1.10/M tokens
- • Output pricing: $4.40/M tokens
- • Context window: 2,000,000 tokens
- • Max output: 131,072 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini Omni 1.1 Flash (Google)
o4-mini (OpenAI)
Start using Gemini Omni 1.1 Flash today
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Which is cheaper, Gemini Omni 1.1 Flash or o4-mini?▼
What is the context window difference between Gemini Omni 1.1 Flash and o4-mini?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Google and OpenAI API pricing beyond this model matchup?▼
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