Gemini Embedding 2 vs o4-mini Deep Research
Compare Google and OpenAI AI models
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini Embedding 2
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs more than Gemini Embedding 2
Feature Comparison
| Feature | Gemini Embedding 2 | o4-mini Deep Research |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.20/1M tokens | $2.00/1M tokens |
| Output Price | $0.20/1M tokens | $8.00/1M tokens |
| Context Window | 8,192 tokens | 200,000 tokens |
| Max Output | 3,072 tokens | 32,768 tokens |
| Category | embedding | reasoning |
| Capabilities | textvisionaudiovideoembeddings | textreasoningcode |
| Release Date | 3/10/2026 | 6/26/2025 |
Gemini Embedding 2 vs o4-mini Deep Research: Which Should You Choose?
Choosing between Gemini Embedding 2 and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Gemini Embedding 2 is the more affordable option at $0.20/1M input tokens — 90% cheaper than o4-mini Deep Research. Meanwhile, o4-mini Deep Research offers a significantly larger context window at 200,000 tokens vs 8,192 for Gemini Embedding 2.
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 Embedding 2 is a embedding model while o4-mini Deep Research is reasoning. This means they're optimized for different workloads. o4-mini Deep Research targets more demanding workloads, while Gemini Embedding 2 provides a cost-effective option for everyday tasks.
Output costs matter too. Gemini Embedding 2 charges $0.20/1M 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. Gemini Embedding 2 has the edge here at $0.20/1M output tokens.
Multimodal capabilities: Gemini Embedding 2 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 Embedding 2 when:
- • Budget is a primary concern
- • You need more capabilities (vision, audio, video, embeddings)
- • You're already using Google's API ecosystem
Choose o4-mini Deep Research when:
- • You need a larger context window (200,000 tokens)
- • You need longer outputs (up to 32,768 tokens)
- • You're already using OpenAI's API ecosystem
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini Embedding 2 (Google)
o4-mini Deep Research (OpenAI)
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