LLM Reference

Gemini Deep Research vs o4-mini

Gemini Deep Research (2024) and o4-mini (2025) are frontier reasoning models from Google DeepMind and OpenAI. Gemini Deep Research ships a 128k-token context window, while o4-mini ships a 200k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

o4-mini is safer overall; choose Gemini Deep Research when provider fit matters.

Decision scorecard

Local evidence first
SignalGemini Deep Researcho4-mini
Best fortool-calling agentsreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitRAG, Agents, and Long contextCoding, RAG, and Agents
Context window128k200k
Cheapest output-$4/1M tokens
Provider routes1 tracked4 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemini Deep Research when...
  • Local decision data tags Gemini Deep Research for RAG, Agents, and Long context.
Choose o4-mini when...
  • o4-mini has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • o4-mini has broader tracked provider coverage for fallback and procurement flexibility.
  • o4-mini uniquely exposes Vision, Multimodal, and Reasoning in local model data.
  • Local decision data tags o4-mini 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.

Gemini Deep Research

Unavailable

No complete token price in local provider data

o4-mini

$1,800

Cheapest tracked route/tier: Replicate API

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Gemini Deep Research -> o4-mini
  • No overlapping tracked provider route is sourced for Gemini Deep Research and o4-mini; plan for SDK, billing, or endpoint changes.
  • o4-mini adds Vision, Multimodal, and Reasoning in local capability data.
o4-mini -> Gemini Deep Research
  • No overlapping tracked provider route is sourced for o4-mini and Gemini Deep Research; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.

Specs

Specification
Released2024-12-112025-04-16
Context window128k200k
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
OpennessProprietaryProprietary
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff2025-012025-08

Pricing and availability

Pricing attributeGemini Deep Researcho4-mini
Input price-$1/1M tokens
Output price-$4/1M tokens
Providers

Capabilities

CapabilityGemini Deep Researcho4-mini
VisionNoYes
MultimodalNoYes
ReasoningNoYes
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionNoYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: o4-mini, multimodal input: o4-mini, reasoning mode: o4-mini, and code execution: o4-mini. Both models share function calling, tool use, and structured outputs, 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.

Pricing coverage is uneven: Gemini Deep Research has no token price sourced yet and o4-mini has $1/1M input tokens. Provider availability is 1 tracked routes versus 4. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemini Deep Research when provider fit are central to the workload. Choose o4-mini when coding workflow support, larger context windows, 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Gemini Deep Research or o4-mini?

o4-mini supports 200k tokens, while Gemini Deep Research supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemini Deep Research or o4-mini open source?

Gemini Deep Research is listed under Proprietary. o4-mini 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 or o4-mini?

o4-mini has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. 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 or o4-mini?

o4-mini has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Gemini Deep Research or o4-mini?

o4-mini 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 and o4-mini?

Gemini Deep Research is available on Google AI Studio. o4-mini is available on OpenAI API, OpenRouter, Replicate API, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.