Gemini 3.8 Live vs o4-mini Deep Research
Pricing verdict: Gemini 3.8 Live vs o4-mini Deep Research: Gemini 3.8 Live is cheaper for input-heavy usage ($0.75/M vs $2.00/M input tokens), while o4-mini Deep Research is better for long-context tasks (200,000 tokens).
Direct answer: choose Gemini 3.8 Live for lower token spend and choose o4-mini 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
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs more than Gemini 3.8 Live
Quick Recommendation
Winner for direct API pricing: Gemini 3.8 Live. At the default workload, Gemini 3.8 Live saves about $9.00/month ($109.50/year) versus o4-mini Deep Research.
Feature Comparison
| Feature | Gemini 3.8 Live | o4-mini Deep Research |
|---|---|---|
| Provider | OpenAI | |
| Input Price | $0.75/1M tokens | $2.00/1M tokens |
| Output Price | $4.50/1M tokens | $8.00/1M tokens |
| Context Window | 131,072 tokens | 200,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | balanced | reasoning |
| Capabilities | textvisionaudiovideoreasoningstreaming | textreasoningcode |
| Release Date | 9/15/2026 | 6/26/2025 |
Gemini 3.8 Live vs o4-mini Deep Research: Which Should You Choose?
Choosing between Gemini 3.8 Live and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.8 Live is the more affordable option at $0.75/1M input tokens — 63% cheaper than o4-mini Deep Research. Meanwhile, o4-mini Deep Research offers a significantly larger context window at 200,000 tokens vs 131,072 for Gemini 3.8 Live.
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 3.8 Live is a balanced 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 3.8 Live provides a cost-effective option for everyday tasks.
Output costs matter too. Gemini 3.8 Live charges $4.50/1M 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 3.8 Live has the edge here at $4.50/1M output tokens.
Multimodal capabilities: Gemini 3.8 Live 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 3.8 Live when:
- • Budget is a primary concern
- • You need more capabilities (vision, audio, video, streaming)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using Google's API ecosystem
Choose o4-mini 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
- • 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 o4-mini Deep Research
o4-mini Deep Research
- • Input pricing: $2.00/M tokens
- • Output pricing: $8.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Gemini 3.8 Live
- • Higher output cost than Gemini 3.8 Live
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 3.8 Live (Google)
o4-mini Deep Research (OpenAI)
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Which is cheaper, Gemini 3.8 Live or o4-mini Deep Research?▼
What is the context window difference between Gemini 3.8 Live and o4-mini 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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