Gemini 3 Pro vs GPT-5.4-Cyber
Gemini 3 Pro (2025) and GPT-5.4-Cyber (2026) are frontier reasoning models from Google DeepMind and OpenAI. Gemini 3 Pro ships a 1M-token context window, while GPT-5.4-Cyber ships a not-yet-sourced context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
GPT-5.4-Cyber is safer overall; choose Gemini 3 Pro when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | Gemini 3 Pro | GPT-5.4-Cyber |
|---|---|---|
| Decision fit | Coding, RAG, and Agents | Vision |
| Context window | 1M | — |
| Cheapest output | $5/1M tokens | - |
| Provider routes | 2 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemini 3 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 3 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- Gemini 3 Pro uniquely exposes Vision, Function calling, and Tool use in local model data.
- Local decision data tags Gemini 3 Pro for Coding, RAG, and Agents.
- GPT-5.4-Cyber uniquely exposes Reasoning in local model data.
- Local decision data tags GPT-5.4-Cyber for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Gemini 3 Pro
$2,250
Cheapest tracked route: GCP Vertex AI
GPT-5.4-Cyber
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Gemini 3 Pro and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Function calling, and Tool use before moving production traffic.
- GPT-5.4-Cyber adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for GPT-5.4-Cyber and Gemini 3 Pro; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning before moving production traffic.
- Gemini 3 Pro adds Vision, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2026-04-14 |
| Context window | 1M | — |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-01 | 2025-08 |
Pricing and availability
| Pricing attribute | Gemini 3 Pro | GPT-5.4-Cyber |
|---|---|---|
| Input price | $1.25/1M tokens | - |
| Output price | $5/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Gemini 3 Pro | GPT-5.4-Cyber |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | No |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Gemini 3 Pro, reasoning mode: GPT-5.4-Cyber, function calling: Gemini 3 Pro, tool use: Gemini 3 Pro, and code execution: Gemini 3 Pro. Both models share multimodal input, 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 3 Pro has $1.25/1M input tokens and GPT-5.4-Cyber has no token price sourced yet. Provider availability is 2 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Gemini 3 Pro when coding workflow support and broader provider choice are central to the workload. Choose GPT-5.4-Cyber when reasoning depth 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
Is Gemini 3 Pro or GPT-5.4-Cyber open source?
Gemini 3 Pro is listed under Proprietary. GPT-5.4-Cyber 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 3 Pro or GPT-5.4-Cyber?
Gemini 3 Pro 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.
Which is better for multimodal input, Gemini 3 Pro or GPT-5.4-Cyber?
Both Gemini 3 Pro and GPT-5.4-Cyber 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, Gemini 3 Pro or GPT-5.4-Cyber?
GPT-5.4-Cyber 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.
Which is better for function calling, Gemini 3 Pro or GPT-5.4-Cyber?
Gemini 3 Pro 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 Gemini 3 Pro and GPT-5.4-Cyber?
Gemini 3 Pro is available on Replicate API and GCP Vertex AI. GPT-5.4-Cyber is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.