DeepSeek V4 Pro vs Qwen3.6-35B-A3B
DeepSeek V4 Pro (2026) and Qwen3.6-35B-A3B (2026) are agentic coding models from DeepSeek and Alibaba. DeepSeek V4 Pro ships a 1M-token context window, while Qwen3.6-35B-A3B ships a 262K-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 2.3 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.
DeepSeek V4 Pro is safer overall; choose Qwen3.6-35B-A3B when coding workflow support matters.
Specs
| Released | 2026-04-24 | 2026-04-16 |
| Context window | 1M | 262K |
| Parameters | 1.6T | 35 |
| Architecture | mixture of experts | moe |
| License | MIT | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| DeepSeek V4 Pro | Qwen3.6-35B-A3B | |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - | - |
Pricing not yet sourced for either model.
Capabilities
| DeepSeek V4 Pro | Qwen3.6-35B-A3B | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek V4 Pro | Qwen3.6-35B-A3B |
|---|---|---|
| MMLU PRO | 87.5 | 85.2 |
| SWE-bench Verified | 80.6 | 73.4 |
| Google-Proof Q&A | 90.1 | 86.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V4 Pro at 87.5 and Qwen3.6-35B-A3B at 85.2, with DeepSeek V4 Pro ahead by 2.3 points; SWE-bench Verified has DeepSeek V4 Pro at 80.6 and Qwen3.6-35B-A3B at 73.4, with DeepSeek V4 Pro ahead by 7.2 points; Google-Proof Q&A has DeepSeek V4 Pro at 90.1 and Qwen3.6-35B-A3B at 86, with DeepSeek V4 Pro ahead by 4.1 points. The largest visible gap is 7.2 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 V4 Pro, and structured outputs: DeepSeek V4 Pro. Both models share 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: DeepSeek V4 Pro has no token price sourced yet and Qwen3.6-35B-A3B has no token price sourced yet. Provider availability is 0 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 V4 Pro when reasoning depth and larger context windows are central to the workload. Choose Qwen3.6-35B-A3B when coding workflow support 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 V4 Pro or Qwen3.6-35B-A3B?
DeepSeek V4 Pro supports 1M tokens, while Qwen3.6-35B-A3B supports 262K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is DeepSeek V4 Pro or Qwen3.6-35B-A3B open source?
DeepSeek V4 Pro is listed under MIT. 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 V4 Pro 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 V4 Pro or Qwen3.6-35B-A3B?
DeepSeek V4 Pro 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 V4 Pro or Qwen3.6-35B-A3B?
Both DeepSeek V4 Pro 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.
When should I pick DeepSeek V4 Pro over Qwen3.6-35B-A3B?
DeepSeek V4 Pro is safer overall; choose Qwen3.6-35B-A3B when coding workflow support matters. If your workload also depends on reasoning depth, start with DeepSeek V4 Pro; if it depends on coding workflow support, run the same evaluation with Qwen3.6-35B-A3B.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.