GPT-5.2 vs Qwen3.5-397B-A17B
GPT-5.2 (2025) and Qwen3.5-397B-A17B (2026) are frontier reasoning models from OpenAI and Alibaba. GPT-5.2 ships a 256K-token context window, while Qwen3.5-397B-A17B ships a 262K-token context window. On pricing, Qwen3.5-397B-A17B costs $0.39/1M input tokens versus $1.75/1M 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.
Qwen3.5-397B-A17B is ~349% cheaper at $0.39/1M; pay for GPT-5.2 only for coding workflow support.
Specs
| Released | 2025-12-11 | 2026-02-16 |
| Context window | 256K | 262K |
| Parameters | — | 397B |
| Architecture | decoder only | MoE |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| GPT-5.2 | Qwen3.5-397B-A17B | |
|---|---|---|
| Input price | $1.75/1M tokens | $0.39/1M tokens |
| Output price | $14/1M tokens | $2.34/1M tokens |
| Providers |
Capabilities
| GPT-5.2 | Qwen3.5-397B-A17B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-5.2, reasoning mode: GPT-5.2, function calling: GPT-5.2, tool use: GPT-5.2, and code execution: GPT-5.2. Both models share multimodal input and structured outputs, 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-5.2 lists $1.75/1M input and $14/1M output tokens, while Qwen3.5-397B-A17B lists $0.39/1M input and $2.34/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3.5-397B-A17B lower by about $4.45 per million blended tokens. Availability is 2 providers versus 1, so concentration risk also matters.
Choose GPT-5.2 when coding workflow support and broader provider choice are central to the workload. Choose Qwen3.5-397B-A17B when long-context analysis, larger context windows, 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-5.2 or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B supports 262K tokens, while GPT-5.2 supports 256K 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-5.2 or Qwen3.5-397B-A17B?
Qwen3.5-397B-A17B is cheaper on tracked token pricing. GPT-5.2 costs $1.75/1M input and $14/1M output tokens. Qwen3.5-397B-A17B costs $0.39/1M input and $2.34/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-5.2 or Qwen3.5-397B-A17B open source?
GPT-5.2 is listed under Proprietary. Qwen3.5-397B-A17B 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-5.2 or Qwen3.5-397B-A17B?
GPT-5.2 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-5.2 or Qwen3.5-397B-A17B?
Both GPT-5.2 and Qwen3.5-397B-A17B 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-5.2 and Qwen3.5-397B-A17B?
GPT-5.2 is available on Replicate API and OpenRouter. Qwen3.5-397B-A17B 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: 2026-04-24. Data sourced from public model cards and provider documentation.