GPT-5.4-Cyber vs Qwen-AgentWorld-35B-A3B
GPT-5.4-Cyber (2026) and Qwen-AgentWorld-35B-A3B (2026) are frontier-tier reasoning models from OpenAI and Alibaba. GPT-5.4-Cyber ships a not-yet-sourced context window, while Qwen-AgentWorld-35B-A3B ships a 262k-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.
Qwen-AgentWorld-35B-A3B is safer overall; choose GPT-5.4-Cyber when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | GPT-5.4-Cyber | Qwen-AgentWorld-35B-A3B |
|---|---|---|
| Best for | reasoning-heavy apps and multimodal apps | reasoning-heavy apps and tool-calling agents |
| Decision fit | Vision | RAG, Agents, and Long context |
| Context window | — | 262k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 0 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.
- Qwen-AgentWorld-35B-A3B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen-AgentWorld-35B-A3B uniquely exposes Tool use in local model data.
- Local decision data tags Qwen-AgentWorld-35B-A3B 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
Qwen-AgentWorld-35B-A3B
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 GPT-5.4-Cyber and Qwen-AgentWorld-35B-A3B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Qwen-AgentWorld-35B-A3B adds Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen-AgentWorld-35B-A3B and GPT-5.4-Cyber; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Tool use before moving production traffic.
- GPT-5.4-Cyber adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-14 | 2026-06-25 |
| Context window | — | 262k |
| Parameters | — | 35B total, 3B active |
| Architecture | Decoder Only | Mixture of Experts |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-08 | - |
Pricing and availability
| Pricing attribute | GPT-5.4-Cyber | Qwen-AgentWorld-35B-A3B |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | GPT-5.4-Cyber | Qwen-AgentWorld-35B-A3B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | Yes |
| Function calling | No | No |
| Tool use | No | Yes |
| 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, multimodal input: GPT-5.4-Cyber, and tool use: Qwen-AgentWorld-35B-A3B. 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 Qwen-AgentWorld-35B-A3B has no token price sourced yet. Provider availability is 0 tracked routes versus 0. 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 Qwen-AgentWorld-35B-A3B when provider fit 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 Qwen-AgentWorld-35B-A3B open source?
GPT-5.4-Cyber is listed under Proprietary. Qwen-AgentWorld-35B-A3B 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-5.4-Cyber or Qwen-AgentWorld-35B-A3B?
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 Qwen-AgentWorld-35B-A3B?
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 Qwen-AgentWorld-35B-A3B?
Both GPT-5.4-Cyber and Qwen-AgentWorld-35B-A3B 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 tool use, GPT-5.4-Cyber or Qwen-AgentWorld-35B-A3B?
Qwen-AgentWorld-35B-A3B has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
When should I pick GPT-5.4-Cyber over Qwen-AgentWorld-35B-A3B?
Qwen-AgentWorld-35B-A3B 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 Qwen-AgentWorld-35B-A3B.
Continue comparing
Last reviewed: 2026-06-25. Data sourced from public model cards and provider documentation.