GPT-5.4-Cyber vs Qwen3-9B
GPT-5.4-Cyber (2026) and Qwen3-9B (2025) are frontier reasoning models from OpenAI and Alibaba. GPT-5.4-Cyber ships a not-yet-sourced context window, while Qwen3-9B ships a 256k-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. The goal is to make the tradeoff clear before deeper testing.
GPT-5.4-Cyber is safer overall; choose Qwen3-9B when provider fit matters.
Decision scorecard
Local evidence first| Signal | GPT-5.4-Cyber | Qwen3-9B |
|---|---|---|
| Best for | reasoning-heavy apps and multimodal apps | general production evaluation |
| Decision fit | Vision | RAG, Long context, and Classification |
| Context window | — | 256k |
| Cheapest output | - | $0.20/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-5.4-Cyber uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GPT-5.4-Cyber for Vision.
- Qwen3-9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3-9B has broader tracked provider coverage for fallback and route flexibility.
- Qwen3-9B uniquely exposes Structured outputs in local model data.
- Local decision data tags Qwen3-9B for RAG, Long context, and Classification.
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
Qwen3-9B
$82.00
Cheapest tracked route/tier: DeepInfra
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 Qwen3-9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Qwen3-9B adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Qwen3-9B and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- GPT-5.4-Cyber adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-14 | 2025-04-28 |
| Context window | — | 256k |
| Parameters | — | 9B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-08 | - |
Pricing and availability
| Pricing attribute | GPT-5.4-Cyber | Qwen3-9B |
|---|---|---|
| Input price | - | $0.04/1M tokens |
| Output price | - | $0.20/1M tokens |
| Providers | - |
Capabilities
| Capability | GPT-5.4-Cyber | Qwen3-9B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| JSON / Tool use | No | No |
| Structured outputs | No | Yes |
| 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.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.