DeepSeek R1 vs Qwen3.6-35B-A3B
DeepSeek R1 (2025) and Qwen3.6-35B-A3B (2026) are agentic coding models from DeepSeek and Alibaba. DeepSeek R1 ships a 128K-token context window, while Qwen3.6-35B-A3B ships a 262K-token context window. On SWE-bench Verified, Qwen3.6-35B-A3B leads by 24.2 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 DeepSeek R1 when coding workflow support matters.
Specs
| Released | 2025-01-20 | 2026-04-16 |
| Context window | 128K | 262K |
| Parameters | 671B, 37B Active | 35 |
| Architecture | decoder only | moe |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek R1 | Qwen3.6-35B-A3B | |
|---|---|---|
| Input price | $0.1/1M tokens | - |
| Output price | $0.3/1M tokens | - |
| Providers | - |
Capabilities
| DeepSeek R1 | Qwen3.6-35B-A3B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek R1 | Qwen3.6-35B-A3B |
|---|---|---|
| SWE-bench Verified | 49.2 | 73.4 |
| Google-Proof Q&A | 71.5 | 86.0 |
Deep dive
On shared benchmark coverage, SWE-bench Verified has DeepSeek R1 at 49.2 and Qwen3.6-35B-A3B at 73.4, with Qwen3.6-35B-A3B ahead by 24.2 points; Google-Proof Q&A has DeepSeek R1 at 71.5 and Qwen3.6-35B-A3B at 86, with Qwen3.6-35B-A3B ahead by 14.5 points. The largest visible gap is 24.2 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 multimodal input: Qwen3.6-35B-A3B, reasoning mode: DeepSeek R1, function calling: Qwen3.6-35B-A3B, tool use: Qwen3.6-35B-A3B, structured outputs: DeepSeek R1, and code execution: DeepSeek R1. Both models share the core language-model surface, 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 has $0.1/1M input tokens and Qwen3.6-35B-A3B has no token price sourced yet. Provider availability is 13 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 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, DeepSeek R1 or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B supports 262K tokens, while DeepSeek R1 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 DeepSeek R1 or Qwen3.6-35B-A3B open source?
DeepSeek R1 is listed under Open Source. 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 multimodal input, DeepSeek R1 or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B 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 or Qwen3.6-35B-A3B?
DeepSeek R1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, DeepSeek R1 or Qwen3.6-35B-A3B?
Qwen3.6-35B-A3B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek R1 and Qwen3.6-35B-A3B?
DeepSeek R1 is available on DeepSeek Platform, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. 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.