Gemini Embedding 2 vs Gemini Omni 1.1 Flash
Pricing verdict: Gemini Embedding 2 vs Gemini Omni 1.1 Flash: Gemini Embedding 2 is cheaper for input-heavy usage ($0.20/M vs $1.50/M input tokens), while Gemini Omni 1.1 Flash is better for long-context tasks (1,048,576 tokens).
Direct answer: choose Gemini Embedding 2 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Gemini Embedding 2
Gemini Omni 1.1 Flash
Cost Differences
Gemini Omni 1.1 Flash costs more than Gemini Embedding 2
Quick Recommendation
Winner for direct API pricing: Gemini Embedding 2. At the default workload, Gemini Embedding 2 saves about $29.85/month ($363.175/year) versus Gemini Omni 1.1 Flash.
Feature Comparison
| Feature | Gemini Embedding 2 | Gemini Omni 1.1 Flash |
|---|---|---|
| Provider | ||
| Input Price | $0.20/1M tokens | $1.50/1M tokens |
| Output Price | $0.20/1M tokens | $17.50/1M tokens |
| Context Window | 8,192 tokens | 1,048,576 tokens |
| Max Output | 3,072 tokens | 57,920 tokens |
| Category | embedding | flagship |
| Capabilities | textvisionaudiovideoembeddings | textvisionaudiovideo |
| Release Date | 3/10/2026 | 8/27/2026 |
Gemini Embedding 2 vs Gemini Omni 1.1 Flash: Which Should You Choose?
Choosing between Gemini Embedding 2 and Gemini Omni 1.1 Flash 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 — 87% cheaper than Gemini Omni 1.1 Flash. Meanwhile, Gemini Omni 1.1 Flash offers a significantly larger context window at 1,048,576 tokens vs 8,192 for Gemini Embedding 2.
These models target different tiers: Gemini Embedding 2 is a embedding model while Gemini Omni 1.1 Flash is flagship. This means they're optimized for different workloads. Gemini Omni 1.1 Flash 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 $17.50 for Gemini Omni 1.1 Flash. 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: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Gemini Embedding 2 when:
- • Budget is a primary concern
- • You need more capabilities (embeddings)
- • You're already using Google's API ecosystem
Choose Gemini Omni 1.1 Flash when:
- • You need a larger context window (1,048,576 tokens)
- • You need longer outputs (up to 57,920 tokens)
- • You're already using Google's API ecosystem
Pros and Caveats at a Glance
Gemini Embedding 2
- • Input pricing: $0.20/M tokens
- • Output pricing: $0.20/M tokens
- • Context window: 8,192 tokens
- • Max output: 3,072 tokens
Watch out for
- • Smaller context window than Gemini Omni 1.1 Flash
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 Gemini Embedding 2
- • Higher output cost than Gemini Embedding 2
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini Embedding 2 (Google)
Gemini Omni 1.1 Flash (Google)
Start using Gemini Embedding 2 today
Sign Up for Google →Start using Gemini Omni 1.1 Flash today
Sign Up for Google →Frequently Asked Questions
Which is cheaper, Gemini Embedding 2 or Gemini Omni 1.1 Flash?▼
What is the context window difference between Gemini Embedding 2 and Gemini Omni 1.1 Flash?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.