Gemini Deep Research Preview vs GPT-5.2
Gemini Deep Research Preview (2026) and GPT-5.2 (2025) are frontier reasoning models from Google DeepMind and OpenAI. Gemini Deep Research Preview ships a 1M-token context window, while GPT-5.2 ships a 400K-token context window. On pricing, GPT-5.2 costs $1.75/1M input tokens versus $2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Gemini Deep Research Preview is safer overall; choose GPT-5.2 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini Deep Research Preview | GPT-5.2 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 1M | 400K |
| Cheapest output | $12/1M tokens | $14/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- 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.
- GPT-5.2 has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-5.2 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags GPT-5.2 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 Preview
$4,600
Cheapest tracked route/tier: Google AI Studio
GPT-5.2
$4,900
Cheapest tracked route/tier: Replicate API
Estimated monthly gap: $300. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemini Deep Research Preview and GPT-5.2; plan for SDK, billing, or endpoint changes.
- GPT-5.2 is $2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.2 adds Reasoning and Code execution in local capability data.
- No overlapping tracked provider route is sourced for GPT-5.2 and Gemini Deep Research Preview; plan for SDK, billing, or endpoint changes.
- Gemini Deep Research Preview is $2/1M 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 | ||
|---|---|---|
| Released | 2026-04-21 | 2025-12-11 |
| Context window | 1M | 400K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-01 | 2025-08 |
Pricing and availability
| Pricing attribute | Gemini Deep Research Preview | GPT-5.2 |
|---|---|---|
| Input price | $2/1M tokens | $1.75/1M tokens |
| Output price | $12/1M tokens | $14/1M tokens |
| Providers |
Capabilities
| Capability | Gemini Deep Research Preview | GPT-5.2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GPT-5.2 and code execution: GPT-5.2. 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 GPT-5.2 lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini Deep Research Preview lower by about $0.42 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Gemini Deep Research Preview when long-context analysis and larger context windows are central to the workload. Choose GPT-5.2 when coding workflow support, lower input-token cost, 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 GPT-5.2?
Gemini Deep Research Preview supports 1M tokens, while GPT-5.2 supports 400K 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 GPT-5.2?
GPT-5.2 is cheaper on tracked token pricing. Gemini Deep Research Preview costs $2/1M input and $12/1M output tokens. GPT-5.2 costs $1.75/1M input and $14/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini Deep Research Preview or GPT-5.2 open source?
Gemini Deep Research Preview is listed under Proprietary. GPT-5.2 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 GPT-5.2?
Both Gemini Deep Research Preview and GPT-5.2 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 GPT-5.2?
Both Gemini Deep Research Preview and GPT-5.2 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 GPT-5.2?
Gemini Deep Research Preview is available on Google AI Studio. GPT-5.2 is available on Replicate API, OpenRouter, 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.