GPT-5 vs Qwen3.6-35B-A3B
GPT-5 (2025) and Qwen3.6-35B-A3B (2026) are agentic coding models from OpenAI and Alibaba. GPT-5 ships a 128K-token context window, while Qwen3.6-35B-A3B ships a 262K-token context window. On SWE-bench Verified, GPT-5 leads by 1.5 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Qwen3.6-35B-A3B is safer overall; choose GPT-5 when coding workflow support matters.
Specs
| Released | 2025-01-21 | 2026-04-16 |
| Context window | 128K | 262K |
| Parameters | — | 35 |
| Architecture | decoder only | moe |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| GPT-5 | Qwen3.6-35B-A3B | |
|---|---|---|
| Input price | $1.25/1M tokens | - |
| Output price | $10/1M tokens | - |
| Providers | - |
Capabilities
| GPT-5 | Qwen3.6-35B-A3B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | GPT-5 | Qwen3.6-35B-A3B |
|---|---|---|
| SWE-bench Verified | 74.9 | 73.4 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has GPT-5 at 74.9 and Qwen3.6-35B-A3B at 73.4, with GPT-5 ahead by 1.5 points. The largest visible gap is 1.5 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: GPT-5, structured outputs: GPT-5, and code execution: GPT-5. 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.
Pricing coverage is uneven: GPT-5 has $1.25/1M input tokens and Qwen3.6-35B-A3B has no token price sourced yet. Provider availability is 2 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 when coding workflow support and broader provider choice are central to the workload. Choose Qwen3.6-35B-A3B when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, GPT-5 or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B supports 262K tokens, while GPT-5 supports 128K 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.
Is GPT-5 or Qwen3.6-35B-A3B open source?
GPT-5 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 or Qwen3.6-35B-A3B?
GPT-5 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 or Qwen3.6-35B-A3B?
Both GPT-5 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.
Which is better for function calling, GPT-5 or Qwen3.6-35B-A3B?
Both GPT-5 and Qwen3.6-35B-A3B expose function calling. 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 and Qwen3.6-35B-A3B?
GPT-5 is available on Replicate API and OpenRouter. Qwen3.6-35B-A3B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.