Gemini Deep Research Preview vs GPT-5.2 Codex
Gemini Deep Research Preview (2026) and GPT-5.2 Codex (2025) compare a standalone API model against a coding-specialized model. Gemini Deep Research Preview ships a 1M-token context window, while GPT-5.2 Codex ships a not-yet-sourced context window. On pricing, GPT-5.2 Codex costs $1.75/1M input tokens versus $2/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: Gemini Deep Research Preview is standalone API model, while GPT-5.2 Codex is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | Gemini Deep Research Preview | GPT-5.2 Codex |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | multimodal apps, tool-calling agents, and long-context analysis | custom coding agents, code generation, and tool loops |
| Decision fit | RAG, Agents, and Long context | Coding, Agents, and Vision |
| Context window | 1M | — |
| Cheapest output | $12/1M tokens | $14/1M tokens |
| Provider routes | 1 tracked | 1 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.
- Gemini Deep Research Preview uniquely exposes Structured outputs in local model data.
- Local decision data tags Gemini Deep Research Preview for RAG, Agents, and Long context.
- GPT-5.2 Codex uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags GPT-5.2 Codex for Coding, Agents, and Vision.
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 Codex
$4,900
Cheapest tracked route/tier: Vercel AI Gateway
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 Codex; plan for SDK, billing, or endpoint changes.
- GPT-5.2 Codex is $2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- GPT-5.2 Codex adds Reasoning and Code execution in local capability data.
- No overlapping tracked provider route is sourced for GPT-5.2 Codex 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.
- Gemini Deep Research Preview adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-21 | 2025-12-18 |
| Context window | 1M | — |
| 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 Codex |
|---|---|---|
| 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 Codex |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| 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 Codex, structured outputs: Gemini Deep Research Preview, and code execution: GPT-5.2 Codex. 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 Codex 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 1, so concentration risk also matters.
Choose Gemini Deep Research Preview when vision-heavy evaluation are central to the workload. Choose GPT-5.2 Codex when coding workflow support and lower input-token cost 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.
FAQ
Which is cheaper, Gemini Deep Research Preview or GPT-5.2 Codex?
GPT-5.2 Codex is cheaper on tracked token pricing. Gemini Deep Research Preview costs $2/1M input and $12/1M output tokens. GPT-5.2 Codex 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 Codex open source?
Gemini Deep Research Preview is listed under Proprietary. GPT-5.2 Codex 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 Codex?
Both Gemini Deep Research Preview and GPT-5.2 Codex expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Gemini Deep Research Preview or GPT-5.2 Codex?
Both Gemini Deep Research Preview and GPT-5.2 Codex 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 GPT-5.2 Codex?
GPT-5.2 Codex 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 GPT-5.2 Codex?
Gemini Deep Research Preview is available on Google AI Studio. GPT-5.2 Codex is available on 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.