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Gemini Deep Research Preview vs o3-pro

Gemini Deep Research Preview (2026) and o3-pro (2025) are frontier reasoning models from Google DeepMind and OpenAI. Gemini Deep Research Preview ships a 1M-token context window, while o3-pro ships a not-yet-sourced context window. On pricing, Gemini Deep Research Preview costs $2/1M input tokens versus $20/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Gemini Deep Research Preview is ~900% cheaper at $2/1M; pay for o3-pro only for coding workflow support.

Specs

Specification
Released2026-04-212025-06-10
Context window1M
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff-2025-08

Pricing and availability

Pricing attributeGemini Deep Research Previewo3-pro
Input price$2/1M tokens$20/1M tokens
Output price$12/1M tokens$80/1M tokens
Providers

Capabilities

CapabilityGemini Deep Research Previewo3-pro
VisionYesYes
MultimodalYesYes
ReasoningNoYes
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionNoYes

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: o3-pro and code execution: o3-pro. Both models share vision, multimodal input, function calling, and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Gemini Deep Research Preview lists $2/1M input and $12/1M output tokens, while o3-pro lists $20/1M input and $80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini Deep Research Preview lower by about $33 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.

Choose Gemini Deep Research Preview when vision-heavy evaluation and lower input-token cost are central to the workload. Choose o3-pro when coding workflow support and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which is cheaper, Gemini Deep Research Preview or o3-pro?

Gemini Deep Research Preview is cheaper on tracked token pricing. Gemini Deep Research Preview costs $2/1M input and $12/1M output tokens. o3-pro costs $20/1M input and $80/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Gemini Deep Research Preview or o3-pro open source?

Gemini Deep Research Preview is listed under Proprietary. o3-pro is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Gemini Deep Research Preview or o3-pro?

Both Gemini Deep Research Preview and o3-pro expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Gemini Deep Research Preview or o3-pro?

Both Gemini Deep Research Preview and o3-pro expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for reasoning mode, Gemini Deep Research Preview or o3-pro?

o3-pro has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Gemini Deep Research Preview and o3-pro?

Gemini Deep Research Preview is available on Google AI Studio. o3-pro is available on OpenRouter and OpenAI API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.