GPT-5.4 Pro vs Qwen3.6-35B-A3B
GPT-5.4 Pro (2026) and Qwen3.6-35B-A3B (2026) are agentic coding models from OpenAI and Alibaba. GPT-5.4 Pro ships a 1.1M-token context window, while Qwen3.6-35B-A3B ships a 262K-token context window. On pricing, Qwen3.6-35B-A3B costs $0.15/1M input tokens versus $30/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Qwen3.6-35B-A3B is ~19900% cheaper at $0.15/1M; pay for GPT-5.4 Pro only for coding workflow support.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-01 | 2026-04-16 |
| Context window | 1.1M | 262K |
| Parameters | — | 35 |
| Architecture | decoder only | moe |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | 2025-08 | - |
Pricing and availability
| Pricing attribute | GPT-5.4 Pro | Qwen3.6-35B-A3B |
|---|---|---|
| Input price | $30/1M tokens | $0.15/1M tokens |
| Output price | $180/1M tokens | $1/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.4 Pro | Qwen3.6-35B-A3B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | 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: GPT-5.4 Pro, reasoning mode: GPT-5.4 Pro, structured outputs: GPT-5.4 Pro, and code execution: GPT-5.4 Pro. Both models share multimodal input, function calling, and tool use, 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.
For cost, GPT-5.4 Pro lists $30/1M input and $180/1M output tokens, while Qwen3.6-35B-A3B lists $0.15/1M input and $1/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.6-35B-A3B lower by about $74.59 per million blended tokens. Availability is 2 providers versus 1, so concentration risk also matters.
Choose GPT-5.4 Pro when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.6-35B-A3B when coding workflow support and lower input-token cost 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
Which has a larger context window, GPT-5.4 Pro or Qwen3.6-35B-A3B?
GPT-5.4 Pro supports 1.1M tokens, while Qwen3.6-35B-A3B supports 262K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, GPT-5.4 Pro or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B is cheaper on tracked token pricing. GPT-5.4 Pro costs $30/1M input and $180/1M output tokens. Qwen3.6-35B-A3B costs $0.15/1M input and $1/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-5.4 Pro or Qwen3.6-35B-A3B open source?
GPT-5.4 Pro is listed under Proprietary. Qwen3.6-35B-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 Pro or Qwen3.6-35B-A3B?
GPT-5.4 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. 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 Pro or Qwen3.6-35B-A3B?
Both GPT-5.4 Pro and Qwen3.6-35B-A3B 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.
Where can I run GPT-5.4 Pro and Qwen3.6-35B-A3B?
GPT-5.4 Pro is available on OpenRouter and OpenAI API. Qwen3.6-35B-A3B 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.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.