LLM Reference

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 200k-token context window. On pricing, Gemini Deep Research Preview costs $2/1M input tokens versus $20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

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

Decision scorecard

Local evidence first
SignalGemini Deep Research Previewo3-pro
Best formultimodal apps, tool-calling agents, and long-context analysisreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitRAG, Agents, and Long contextCoding, RAG, and Agents
Context window1m200k
Cheapest output$12/1M tokens$80/1M tokens
Provider routes1 tracked3 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose Gemini Deep Research Preview when...
  • Gemini Deep Research Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini Deep Research Preview has the lower cheapest tracked output price at $12/1M tokens.
  • Local decision data tags Gemini Deep Research Preview for RAG, Agents, and Long context.
Choose o3-pro when...
  • o3-pro has broader tracked provider coverage for fallback and procurement flexibility.
  • o3-pro uniquely exposes Reasoning and Code execution in local model data.
  • Local decision data tags o3-pro for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Gemini Deep Research Preview

Gemini Deep Research Preview

$4,600

Cheapest tracked route/tier: Google AI Studio

o3-pro

$36,000

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $31,400. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini Deep Research Preview -> o3-pro
  • No overlapping tracked provider route is sourced for Gemini Deep Research Preview and o3-pro; plan for SDK, billing, or endpoint changes.
  • o3-pro is $68/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • o3-pro adds Reasoning and Code execution in local capability data.
o3-pro -> Gemini Deep Research Preview
  • No overlapping tracked provider route is sourced for o3-pro and Gemini Deep Research Preview; plan for SDK, billing, or endpoint changes.
  • Gemini Deep Research Preview is $68/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning and Code execution before moving production traffic.

Specs

Specification
Released2026-04-212025-06-10
Context window1m200k
Parameters
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryProprietary
OpennessProprietaryProprietary
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2025-012025-08

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
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available 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 on the cheapest tracked provider, 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 3, so concentration risk also matters.

Choose Gemini Deep Research Preview when long-context analysis, larger context windows, 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 has a larger context window, Gemini Deep Research Preview or o3-pro?

Gemini Deep Research Preview supports 1m tokens, while o3-pro supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

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.

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, OpenAI API, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.