GPT-5.4-Cyber vs Nemotron 3 Ultra
GPT-5.4-Cyber (2026) and Nemotron 3 Ultra (2026) are frontier-tier reasoning models from OpenAI and NVIDIA AI. GPT-5.4-Cyber ships a not-yet-sourced context window, while Nemotron 3 Ultra ships a 1m-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.
Nemotron 3 Ultra is safer overall; choose GPT-5.4-Cyber when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | GPT-5.4-Cyber | Nemotron 3 Ultra |
|---|---|---|
| Best for | reasoning-heavy apps and multimodal apps | reasoning-heavy apps and long-context analysis |
| Decision fit | Vision | Long context |
| Context window | — | 1m |
| Cheapest output | - | $2.20/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-5.4-Cyber uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags GPT-5.4-Cyber for Vision.
- Nemotron 3 Ultra has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Nemotron 3 Ultra has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Nemotron 3 Ultra for 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
Nemotron 3 Ultra
$950
Cheapest tracked route/tier: OpenRouter
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 Nemotron 3 Ultra; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- No overlapping tracked provider route is sourced for Nemotron 3 Ultra and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
- GPT-5.4-Cyber adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-14 | 2026-06-04 |
| Context window | — | 1m |
| Parameters | — | 550B |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | NVIDIA Open Model |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-08 | - |
Pricing and availability
| Pricing attribute | GPT-5.4-Cyber | Nemotron 3 Ultra |
|---|---|---|
| Input price | - | $0.50/1M tokens |
| Output price | - | $2.20/1M tokens |
| Providers | - |
Capabilities
| Capability | GPT-5.4-Cyber | Nemotron 3 Ultra |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: GPT-5.4-Cyber and multimodal input: GPT-5.4-Cyber. Both models share 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 Nemotron 3 Ultra has $0.50/1M 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 Nemotron 3 Ultra when provider fit 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 Nemotron 3 Ultra open source?
GPT-5.4-Cyber is listed under Proprietary. Nemotron 3 Ultra is listed under NVIDIA Open Model. 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 Nemotron 3 Ultra?
GPT-5.4-Cyber 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. 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 Nemotron 3 Ultra?
GPT-5.4-Cyber has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, GPT-5.4-Cyber or Nemotron 3 Ultra?
Both GPT-5.4-Cyber and Nemotron 3 Ultra 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.
Where can I run GPT-5.4-Cyber and Nemotron 3 Ultra?
GPT-5.4-Cyber is available on the tracked providers still being sourced. Nemotron 3 Ultra is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick GPT-5.4-Cyber over Nemotron 3 Ultra?
Nemotron 3 Ultra is safer overall; choose GPT-5.4-Cyber when vision-heavy evaluation matters. If your workload also depends on vision-heavy evaluation, start with GPT-5.4-Cyber; if it depends on provider fit, run the same evaluation with Nemotron 3 Ultra.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.