GPT-5.5-Cyber vs Qwen3.5-397B-A17B
GPT-5.5-Cyber (2026) and Qwen3.5-397B-A17B (2026) are frontier-tier reasoning models from OpenAI and Alibaba. GPT-5.5-Cyber ships a not-yet-sourced context window, while Qwen3.5-397B-A17B 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-5.5-Cyber is safer overall; choose Qwen3.5-397B-A17B when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | GPT-5.5-Cyber | Qwen3.5-397B-A17B |
|---|---|---|
| Best for | reasoning-heavy apps and multimodal apps | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Vision | Coding, RAG, and Agents |
| Context window | — | 256K |
| Cheapest output | - | $3/1M tokens |
| Provider routes | 0 tracked | 5 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags GPT-5.5-Cyber for Vision.
- Qwen3.5-397B-A17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-397B-A17B has broader tracked provider coverage for fallback and route flexibility.
- Qwen3.5-397B-A17B uniquely exposes JSON / Tool use and Structured outputs in local model data.
- Local decision data tags Qwen3.5-397B-A17B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-5.5-Cyber
Unavailable
No complete token price in local provider data
Qwen3.5-397B-A17B
$1,110
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-5.5-Cyber and Qwen3.5-397B-A17B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-397B-A17B adds JSON / Tool use and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-397B-A17B and GPT-5.5-Cyber; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-30 | 2026-02-16 |
| Context window | — | 256K |
| Parameters | — | 397B (17B active) |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Permitted |
| Knowledge cutoff | 2025-12 | - |
Pricing and availability
| Pricing attribute | GPT-5.5-Cyber | Qwen3.5-397B-A17B |
|---|---|---|
| Input price | - | $0.45/1M tokens |
| Output price | - | $3/1M tokens |
| Providers | - |
Capabilities
| Capability | GPT-5.5-Cyber | Qwen3.5-397B-A17B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| JSON / 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 scores are currently available for this pair.
Deep dive
The capability footprint differs most on JSON / Tool use: Qwen3.5-397B-A17B, JSON / Tool use: Qwen3.5-397B-A17B, and structured outputs: Qwen3.5-397B-A17B. 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-5.5-Cyber has no token price listed and Qwen3.5-397B-A17B has $0.45/1M input tokens. Provider availability is 0 listed routes versus 5. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-5.5-Cyber when vision-heavy evaluation are central to the workload. Choose Qwen3.5-397B-A17B 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-5.5-Cyber or Qwen3.5-397B-A17B open source?
GPT-5.5-Cyber is listed under Proprietary. Qwen3.5-397B-A17B is listed under Apache 2.0. 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-5.5-Cyber or Qwen3.5-397B-A17B?
Both GPT-5.5-Cyber and Qwen3.5-397B-A17B 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-5.5-Cyber or Qwen3.5-397B-A17B?
Both GPT-5.5-Cyber and Qwen3.5-397B-A17B 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-5.5-Cyber or Qwen3.5-397B-A17B?
Both GPT-5.5-Cyber and Qwen3.5-397B-A17B 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 JSON / Tool use, GPT-5.5-Cyber or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B has the clearer documented JSON / Tool use signal in this comparison. If JSON / Tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GPT-5.5-Cyber and Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B is available on OpenRouter, Together AI, Alibaba Cloud PAI-EAS, Novita AI, and DeepInfra. 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.
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Last reviewed: 2026-10-27. Data sourced from public model cards and provider documentation.