Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of-experts architecture combining Gated...
Model details →Qwen: Qwen3.6 35B A3B vs Xiaomi: MiMo-V2-Omni
Qwen: Qwen3.6 35B A3B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
MiMo-V2-Omni is a frontier omni-modal model that natively processes image, video, and audio inputs within a unified architecture. It combines strong multimodal perception with agentic capability - visual grounding, multi-step planning, tool…
Model details →Side-by-side comparison
| Capability | Qwen: Qwen3.6 35B A3B | Xiaomi: MiMo-V2-Omni | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.14 | $0.40 | 🏆 Qwen: Qwen3.6 35B A3B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.00 | $2.00 | 🏆 Qwen: Qwen3.6 35B A3B |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Qwen: Qwen3.6 35B A3B better than Xiaomi: MiMo-V2-Omni?
Qwen: Qwen3.6 35B A3B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Qwen: Qwen3.6 35B A3B and Xiaomi: MiMo-V2-Omni?
Input: $0.14 vs $0.40 per 1M tokens. Output: $1.00 vs $2.00 per 1M tokens.
What context windows do Qwen: Qwen3.6 35B A3B and Xiaomi: MiMo-V2-Omni support?
Qwen: Qwen3.6 35B A3B supports up to 262K tokens. Xiaomi: MiMo-V2-Omni supports up to 262K tokens.
Do both Qwen: Qwen3.6 35B A3B and Xiaomi: MiMo-V2-Omni support tool calling?
Qwen: Qwen3.6 35B A3B: yes. Xiaomi: MiMo-V2-Omni: yes.
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