GPT-5 Pro vs Qwen3.6-35B-A3B
GPT-5 Pro (2025) and Qwen3.6-35B-A3B (2026) compare a standalone API model against a coding-specialized model. GPT-5 Pro ships a 400k-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 $15/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: GPT-5 Pro is standalone API model, while Qwen3.6-35B-A3B is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | GPT-5 Pro | Qwen3.6-35B-A3B |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | multimodal apps and tool-calling agents | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 400k | 262k |
| Cheapest output | $120/1M tokens | $1/1M tokens |
| Provider routes | 1 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5 Pro uniquely exposes Structured outputs and Code execution in local model data.
- Local decision data tags GPT-5 Pro for Coding, RAG, and Agents.
- Qwen3.6-35B-A3B has the lower cheapest tracked output price at $1/1M tokens.
- Qwen3.6-35B-A3B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Qwen3.6-35B-A3B 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 Pro
$42,000
Cheapest tracked route/tier: Vercel AI Gateway
Qwen3.6-35B-A3B
$370
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $41,630. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-5 Pro and Qwen3.6-35B-A3B; plan for SDK, billing, or endpoint changes.
- Qwen3.6-35B-A3B is $119/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs and Code execution before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3.6-35B-A3B and GPT-5 Pro; plan for SDK, billing, or endpoint changes.
- GPT-5 Pro is $119/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5 Pro adds Structured outputs and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2026-04-16 |
| Context window | 400k | 262k |
| Parameters | — | 35B |
| Architecture | decoder only | moe |
| License | Proprietary | Apache 2.0(OSI) |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2024-09 | - |
Pricing and availability
| Pricing attribute | GPT-5 Pro | Qwen3.6-35B-A3B |
|---|---|---|
| Input price | $15/1M tokens | $0.15/1M tokens |
| Output price | $120/1M tokens | $1/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5 Pro | Qwen3.6-35B-A3B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | No |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: GPT-5 Pro and code execution: GPT-5 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 Pro lists $15/1M input and $120/1M output tokens on the cheapest tracked provider, 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 $46.09 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.
Choose GPT-5 Pro when coding workflow support and larger context windows are central to the workload. Choose Qwen3.6-35B-A3B when coding workflow support, lower input-token cost, 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.
FAQ
Which has a larger context window, GPT-5 Pro or Qwen3.6-35B-A3B?
GPT-5 Pro supports 400k 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 Pro or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B is cheaper on tracked token pricing. GPT-5 Pro costs $15/1M input and $120/1M 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 Pro or Qwen3.6-35B-A3B open source?
GPT-5 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 Pro or Qwen3.6-35B-A3B?
Both GPT-5 Pro and Qwen3.6-35B-A3B 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 Pro or Qwen3.6-35B-A3B?
Both GPT-5 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 Pro and Qwen3.6-35B-A3B?
GPT-5 Pro is available on Vercel AI Gateway. Qwen3.6-35B-A3B is available on OpenRouter and Novita AI. 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: 2026-06-04. Data sourced from public model cards and provider documentation.