GPT-5.4-Cyber vs o3 Deep Research
GPT-5.4-Cyber (2026) and o3 Deep Research (2025) are frontier-tier reasoning models from OpenAI. GPT-5.4-Cyber ships a not-yet-sourced context window, while o3 Deep Research 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.
GPT-5.4-Cyber is safer overall; choose o3 Deep Research when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | GPT-5.4-Cyber | o3 Deep Research |
|---|---|---|
| Best for | reasoning-heavy apps and multimodal apps | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Vision | RAG, Agents, and Long context |
| Context window | — | 200k |
| Cheapest output | - | $40/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags GPT-5.4-Cyber for Vision.
- o3 Deep Research has the larger context window for long prompts, retrieval packs, or transcript analysis.
- o3 Deep Research has broader tracked provider coverage for fallback and procurement flexibility.
- o3 Deep Research uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
- 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-5.4-Cyber
Unavailable
No complete token price in local provider data
o3 Deep Research
$18,000
Cheapest tracked route/tier: Vercel AI Gateway
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-5.4-Cyber and o3 Deep Research; plan for SDK, billing, or endpoint changes.
- o3 Deep Research adds Function calling, Tool use, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for o3 Deep Research and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-14 | 2025-10-10 |
| Context window | — | 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-5.4-Cyber | o3 Deep Research |
|---|---|---|
| Input price | - | $10/1M tokens |
| Output price | - | $40/1M tokens |
| Providers | - |
Capabilities
| Capability | GPT-5.4-Cyber | o3 Deep Research |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | 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 function calling: o3 Deep Research, tool use: o3 Deep Research, and structured outputs: o3 Deep Research. Both models share vision, multimodal input, and reasoning mode, 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: GPT-5.4-Cyber has no token price sourced yet and o3 Deep Research has $10/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-5.4-Cyber when vision-heavy evaluation are central to the workload. Choose o3 Deep Research when vision-heavy evaluation 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
Is GPT-5.4-Cyber or o3 Deep Research open source?
GPT-5.4-Cyber 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-5.4-Cyber or o3 Deep Research?
Both GPT-5.4-Cyber 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-5.4-Cyber or o3 Deep Research?
Both GPT-5.4-Cyber 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.
Which is better for reasoning mode, GPT-5.4-Cyber or o3 Deep Research?
Both GPT-5.4-Cyber and o3 Deep Research expose reasoning mode. 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 function calling, GPT-5.4-Cyber or o3 Deep Research?
o3 Deep Research has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GPT-5.4-Cyber and o3 Deep Research?
GPT-5.4-Cyber is available on the tracked providers still being sourced. 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: 2026-06-04. Data sourced from public model cards and provider documentation.