Gemini Omni 1.1 Flash vs GPT-5.6 Terra
Pricing verdict: Gemini Omni 1.1 Flash vs GPT-5.6 Terra: Gemini Omni 1.1 Flash is cheaper for input-heavy usage ($1.50/M vs $2.50/M input tokens), while GPT-5.6 Terra is better for long-context tasks (1,050,000 tokens).
Direct answer: choose Gemini Omni 1.1 Flash for lower token spend and choose GPT-5.6 Terra 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
GPT-5.6 Terra
Cost Differences
GPT-5.6 Terra costs less than Gemini Omni 1.1 Flash
Quick Recommendation
Winner for direct API pricing: GPT-5.6 Terra. At the default workload, GPT-5.6 Terra saves about $0.75/month ($9.125/year) versus Gemini Omni 1.1 Flash.
Feature Comparison
| Feature | Gemini Omni 1.1 Flash | GPT-5.6 Terra |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $1.50/1M tokens | $2.50/1M tokens |
| Output Price | $17.50/1M tokens | $15.00/1M tokens |
| Context Window | 1,048,576 tokens | 1,050,000 tokens |
| Max Output | 57,920 tokens | 128,000 tokens |
| Category | flagship | balanced |
| Capabilities | textvisionaudiovideo | textvisioncodereasoning |
| Release Date | 8/27/2026 | 6/26/2026 |
Gemini Omni 1.1 Flash vs GPT-5.6 Terra: Which Should You Choose?
Choosing between Gemini Omni 1.1 Flash and GPT-5.6 Terra 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 — 40% cheaper than GPT-5.6 Terra. Meanwhile, GPT-5.6 Terra offers a significantly larger context window at 1,050,000 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 GPT-5.6 Terra is balanced. This means they're optimized for different workloads. Gemini Omni 1.1 Flash is built for complex tasks that require deeper reasoning, while GPT-5.6 Terra offers better value for routine operations.
Output costs matter too. Gemini Omni 1.1 Flash charges $17.50/1M output tokens vs $15.00 for GPT-5.6 Terra. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.6 Terra has the edge here at $15.00/1M 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 Omni 1.1 Flash when:
- • Budget is a primary concern
- • You're already using Google's API ecosystem
Choose GPT-5.6 Terra when:
- • You need a larger context window (1,050,000 tokens)
- • You need longer outputs (up to 128,000 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 output cost than GPT-5.6 Terra
- • Smaller context window than GPT-5.6 Terra
GPT-5.6 Terra
- • Input pricing: $2.50/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Higher input cost 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)
GPT-5.6 Terra (OpenAI)
Start using Gemini Omni 1.1 Flash today
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Gemini Omni 1.1 Flash or GPT-5.6 Terra?▼
What is the context window difference between Gemini Omni 1.1 Flash and GPT-5.6 Terra?▼
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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