GPT-5.2 vs o3 Deep Research
GPT-5.2 (2025) and o3 Deep Research (2025) are frontier-tier reasoning models from OpenAI. GPT-5.2 ships a 400k-token context window, while o3 Deep Research ships a 200k-token context window. On pricing, GPT-5.2 costs $1.75/1M input tokens versus $10/1M 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.
GPT-5.2 is ~471% cheaper at $1.75/1M; pay for o3 Deep Research only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | GPT-5.2 | o3 Deep Research |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 400k | 200k |
| Cheapest output | $14/1M tokens | $40/1M tokens |
| Provider routes | 3 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-5.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.2 has the lower cheapest tracked output price at $14/1M tokens.
- GPT-5.2 has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-5.2 uniquely exposes Code execution in local model data.
- Local decision data tags GPT-5.2 for Coding, RAG, and Agents.
- Local decision data tags o3 Deep Research for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.2
$4,900
Cheapest tracked route/tier: Replicate API
o3 Deep Research
$18,000
Cheapest tracked route/tier: Vercel AI Gateway
Estimated monthly gap: $13,100. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- o3 Deep Research is $26/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
- GPT-5.2 is $26/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- GPT-5.2 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2025-10-10 |
| Context window | 400k | 200k |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2025-08 | 2024-06 |
Pricing and availability
| Pricing attribute | GPT-5.2 | o3 Deep Research |
|---|---|---|
| Input price | $1.75/1M tokens | $10/1M tokens |
| Output price | $14/1M tokens | $40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.2 | o3 Deep Research |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| 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 code execution: GPT-5.2. Both models share vision, multimodal input, reasoning mode, and function calling, 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, GPT-5.2 lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider, while o3 Deep Research lists $10/1M input and $40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GPT-5.2 lower by about $13.57 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.
Choose GPT-5.2 when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose o3 Deep Research when vision-heavy evaluation 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, GPT-5.2 or o3 Deep Research?
GPT-5.2 supports 400k tokens, while o3 Deep Research 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, GPT-5.2 or o3 Deep Research?
GPT-5.2 is cheaper on tracked token pricing. GPT-5.2 costs $1.75/1M input and $14/1M output tokens. o3 Deep Research costs $10/1M input and $40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-5.2 or o3 Deep Research open source?
GPT-5.2 is listed under Proprietary. o3 Deep Research 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, GPT-5.2 or o3 Deep Research?
Both GPT-5.2 and o3 Deep Research 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, GPT-5.2 or o3 Deep Research?
Both GPT-5.2 and o3 Deep Research expose multimodal input. 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.
Where can I run GPT-5.2 and o3 Deep Research?
GPT-5.2 is available on Replicate API, OpenRouter, and Vercel AI Gateway. o3 Deep Research 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.