DeepSeek R1 0528 vs Qwen3.6-27B
DeepSeek R1 0528 (2025) and Qwen3.6-27B (2026) are agentic coding models from DeepSeek and Alibaba. DeepSeek R1 0528 ships a 160K-token context window, while Qwen3.6-27B ships a 262K-token context window. On Google-Proof Q&A, Qwen3.6-27B leads by 6.8 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.
Qwen3.6-27B is safer overall; choose DeepSeek R1 0528 when coding workflow support matters.
Specs
| Released | 2025-01-01 | 2026-04-22 |
| Context window | 160K | 262K |
| Parameters | 671B | 27B |
| Architecture | decoder only | dense |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek R1 0528 | Qwen3.6-27B | |
|---|---|---|
| Input price | $0.1/1M tokens | - |
| Output price | $0.3/1M tokens | - |
| Providers | - |
Capabilities
| DeepSeek R1 0528 | Qwen3.6-27B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek R1 0528 | Qwen3.6-27B |
|---|---|---|
| Google-Proof Q&A | 81.0 | 87.8 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has DeepSeek R1 0528 at 81 and Qwen3.6-27B at 87.8, with Qwen3.6-27B ahead by 6.8 points. The largest visible gap is 6.8 points on Google-Proof Q&A, 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: Qwen3.6-27B, multimodal input: Qwen3.6-27B, function calling: Qwen3.6-27B, tool use: Qwen3.6-27B, structured outputs: DeepSeek R1 0528, and code execution: DeepSeek R1 0528. Both models share reasoning mode, 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: DeepSeek R1 0528 has $0.1/1M input tokens and Qwen3.6-27B has no token price sourced yet. Provider availability is 5 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose DeepSeek R1 0528 when coding workflow support and broader provider choice are central to the workload. Choose Qwen3.6-27B 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, DeepSeek R1 0528 or Qwen3.6-27B?
Qwen3.6-27B supports 262K tokens, while DeepSeek R1 0528 supports 160K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek R1 0528 or Qwen3.6-27B open source?
DeepSeek R1 0528 is listed under Open Source. Qwen3.6-27B 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, DeepSeek R1 0528 or Qwen3.6-27B?
Qwen3.6-27B 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, DeepSeek R1 0528 or Qwen3.6-27B?
Qwen3.6-27B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, DeepSeek R1 0528 or Qwen3.6-27B?
Both DeepSeek R1 0528 and Qwen3.6-27B expose reasoning mode. 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 DeepSeek R1 0528 and Qwen3.6-27B?
DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. Qwen3.6-27B 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.