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GPT-5.4 Pro vs Qwen3.6-Plus

GPT-5.4 Pro (2026) and Qwen3.6-Plus (2026) are agentic coding models from OpenAI and Alibaba. GPT-5.4 Pro ships a 1.1M-token context window, while Qwen3.6-Plus ships a 1M-token context window. On pricing, Qwen3.6-Plus costs $0.33/1M 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-Plus is ~9131% cheaper at $0.33/1M; pay for GPT-5.4 Pro only for coding workflow support.

Decision scorecard

Local evidence first
SignalGPT-5.4 ProQwen3.6-Plus
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1.1M1M
Cheapest output$180/1M tokens$1.95/1M tokens
Provider routes2 tracked2 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GPT-5.4 Pro when...
  • GPT-5.4 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.4 Pro uniquely exposes Reasoning, Structured outputs, and Code execution in local model data.
  • Local decision data tags GPT-5.4 Pro for Coding, RAG, and Agents.
Choose Qwen3.6-Plus when...
  • Qwen3.6-Plus has the lower cheapest tracked output price at $1.95/1M tokens.
  • Local decision data tags Qwen3.6-Plus for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Qwen3.6-Plus

GPT-5.4 Pro

$69,000

Cheapest tracked route: OpenRouter

Qwen3.6-Plus

$748

Cheapest tracked route: Alibaba Cloud PAI-EAS

Estimated monthly gap: $68,253. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.4 Pro -> Qwen3.6-Plus
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Qwen3.6-Plus is $178/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning, Structured outputs, and Code execution before moving production traffic.
Qwen3.6-Plus -> GPT-5.4 Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GPT-5.4 Pro is $178/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.4 Pro adds Reasoning, Structured outputs, and Code execution in local capability data.

Specs

Specification
Released2026-03-012026-04-01
Context window1.1M1M
Parameters
Architecturedecoder onlydense
LicenseProprietaryProprietary
Knowledge cutoff2025-08-

Pricing and availability

Pricing attributeGPT-5.4 ProQwen3.6-Plus
Input price$30/1M tokens$0.33/1M tokens
Output price$180/1M tokens$1.95/1M tokens
Providers

Capabilities

CapabilityGPT-5.4 ProQwen3.6-Plus
VisionYesYes
MultimodalYesYes
ReasoningYesNo
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
Code executionYesNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on reasoning mode: GPT-5.4 Pro, structured outputs: GPT-5.4 Pro, and code execution: GPT-5.4 Pro. Both models share vision, 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-Plus lists $0.33/1M input and $1.95/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.6-Plus lower by about $74.19 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.

Choose GPT-5.4 Pro when coding workflow support and larger context windows are central to the workload. Choose Qwen3.6-Plus 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-Plus?

GPT-5.4 Pro supports 1.1M tokens, while Qwen3.6-Plus supports 1M 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-Plus?

Qwen3.6-Plus is cheaper on tracked token pricing. GPT-5.4 Pro costs $30/1M input and $180/1M output tokens. Qwen3.6-Plus costs $0.33/1M input and $1.95/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is GPT-5.4 Pro or Qwen3.6-Plus open source?

GPT-5.4 Pro is listed under Proprietary. Qwen3.6-Plus is listed under Proprietary. 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-Plus?

Both GPT-5.4 Pro and Qwen3.6-Plus 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-5.4 Pro or Qwen3.6-Plus?

Both GPT-5.4 Pro and Qwen3.6-Plus 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-Plus?

GPT-5.4 Pro is available on OpenRouter and OpenAI API. Qwen3.6-Plus is available on OpenRouter and Alibaba Cloud PAI-EAS. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-12. Data sourced from public model cards and provider documentation.