GPT-5 vs Qwen3.6 Max Preview
GPT-5 (2025) and Qwen3.6 Max Preview (2026) are frontier-tier reasoning models from OpenAI and Alibaba. GPT-5 ships a 400k-token context window, while Qwen3.6 Max Preview ships a 256k-token context window. On SWE-bench Verified, Qwen3.6 Max Preview leads by 3.9 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3.6 Max Preview is safer overall; choose GPT-5 when coding workflow support matters.
Decision scorecard
Local evidence first| Signal | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 400k | 256k |
| Cheapest output | $10/1M tokens | $6.24/1M tokens |
| Provider routes | 4 tracked | 3 tracked |
| Shared benchmarks | 2 rows | SWE-bench Verified leader |
Decision tradeoffs
- GPT-5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 2.4 points.
- GPT-5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5 has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-5 uniquely exposes Code execution in local model data.
- Local decision data tags GPT-5 for Coding, RAG, and Agents.
- Qwen3.6 Max Preview holds a shared-benchmark lead on SWE-bench Verified, ahead by 3.9 points.
- Qwen3.6 Max Preview has the lower cheapest tracked output price at $6.24/1M tokens.
- Local decision data tags Qwen3.6 Max Preview 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
$3,500
Cheapest tracked route/tier: Replicate API
Qwen3.6 Max Preview
$2,392
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,108. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Qwen3.6 Max Preview is $3.76/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- GPT-5 is $3.76/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-08-07 | 2026-04-20 |
| Context window | 400k | 256k |
| Parameters | — | — |
| 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 | Qwen3.6 Max Preview |
|---|---|---|
| Input price | $1.25/1M tokens |
|
| Output price | $10/1M tokens |
|
| Providers |
Capabilities
| Capability | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | GPT-5 | Qwen3.6 Max Preview |
|---|---|---|
| SWE-bench Verified | 74.9 | 78.8 |
| Google-Proof Q&A | 88.4 | 86.0 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has GPT-5 at 74.9 and Qwen3.6 Max Preview at 78.8, with Qwen3.6 Max Preview ahead by 3.9 points; Google-Proof Q&A has GPT-5 at 88.4 and Qwen3.6 Max Preview at 86, with GPT-5 ahead by 2.4 points. The largest visible gap is 3.9 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 code execution: GPT-5. Both models share vision, multimodal input, reasoning mode, and function calling, 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 lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider, while Qwen3.6 Max Preview lists tiered pricing: 0-128,000t is $1.30/1M input and $7.80/1M output; 128,000t+ is $2/1M input and $12/1M output. A 70/30 input-output blend puts Qwen3.6 Max Preview lower by about $1.28 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 4 providers versus 3, so concentration risk also matters.
Choose GPT-5 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.6 Max Preview when vision-heavy evaluation and lower cheapest-tier input-token cost 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 Max Preview?
GPT-5 supports 400k tokens, while Qwen3.6 Max Preview supports 256k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GPT-5 or Qwen3.6 Max Preview?
GPT-5 lists $1.25/1M input and $10/1M output tokens on the cheapest tracked provider. Qwen3.6 Max Preview lists tiered pricing: 0-128,000t is $1.30/1M input and $7.80/1M output; 128,000t+ is $2/1M input and $12/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is GPT-5 or Qwen3.6 Max Preview open source?
GPT-5 is listed under Proprietary. Qwen3.6 Max Preview 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 Max Preview?
Both GPT-5 and Qwen3.6 Max Preview 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 or Qwen3.6 Max Preview?
Both GPT-5 and Qwen3.6 Max Preview 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 and Qwen3.6 Max Preview?
GPT-5 is available on Replicate API, OpenRouter, OpenAI API, and Vercel AI Gateway. Qwen3.6 Max Preview is available on OpenRouter, Alibaba Cloud PAI-EAS, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.