Gemini 3.8 Live Extended Thinking vs o3 Deep Research
Pricing verdict: Gemini 3.8 Live Extended Thinking vs o3 Deep Research: Gemini 3.8 Live Extended Thinking is cheaper for input-heavy usage ($0.75/M vs $10.00/M input tokens), while o3 Deep Research is better for long-context tasks (200,000 tokens).
Direct answer: choose Gemini 3.8 Live Extended Thinking for lower token spend and choose o3 Deep Research 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 3.8 Live Extended Thinking
o3 Deep Research
Cost Differences
o3 Deep Research costs more than Gemini 3.8 Live Extended Thinking
Quick Recommendation
Winner for direct API pricing: Gemini 3.8 Live Extended Thinking. At the default workload, Gemini 3.8 Live Extended Thinking saves about $81.00/month ($985.50/year) versus o3 Deep Research.
Feature Comparison
| Feature | Gemini 3.8 Live Extended Thinking | o3 Deep Research |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.75/1M tokens | $10.00/1M tokens |
| Output Price | $4.50/1M tokens | $40.00/1M tokens |
| Context Window | 131,072 tokens | 200,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | reasoning | reasoning |
| Capabilities | textvisionaudiovideoreasoningstreaming | textreasoningvisioncode |
| Release Date | 9/15/2026 | 6/26/2025 |
Gemini 3.8 Live Extended Thinking vs o3 Deep Research: Which Should You Choose?
Choosing between Gemini 3.8 Live Extended Thinking and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.8 Live Extended Thinking is the more affordable option at $0.75/1M input tokens — 93% cheaper than o3 Deep Research. Meanwhile, o3 Deep Research offers a significantly larger context window at 200,000 tokens vs 131,072 for Gemini 3.8 Live Extended Thinking.
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.
Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Gemini 3.8 Live Extended Thinking would save you roughly $8,100.00/month compared to o3 Deep Research. For startups and indie developers, that difference can be significant.
Output costs matter too. Gemini 3.8 Live Extended Thinking charges $4.50/1M output tokens vs $40.00 for o3 Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 3.8 Live Extended Thinking has the edge here at $4.50/1M 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 3.8 Live Extended Thinking when:
- • Budget is a primary concern
- • You need more capabilities (audio, video, streaming)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using Google's API ecosystem
Choose o3 Deep Research when:
- • You need a larger context window (200,000 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
Gemini 3.8 Live Extended Thinking
- • Input pricing: $0.75/M tokens
- • Output pricing: $4.50/M tokens
- • Context window: 131,072 tokens
- • Max output: 65,536 tokens
Watch out for
- • Smaller context window than o3 Deep Research
o3 Deep Research
- • Input pricing: $10.00/M tokens
- • Output pricing: $40.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Gemini 3.8 Live Extended Thinking
- • Higher output cost than Gemini 3.8 Live Extended Thinking
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 3.8 Live Extended Thinking (Google)
o3 Deep Research (OpenAI)
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Which is cheaper, Gemini 3.8 Live Extended Thinking or o3 Deep Research?▼
What is the context window difference between Gemini 3.8 Live Extended Thinking and o3 Deep Research?▼
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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