Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed visual and text toke…
Model details →MoonshotAI: Kimi K2.5 vs Qwen: Qwen3.5-122B-A10B
Qwen: Qwen3.5-122B-A10B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of overall performance…
Model details →Side-by-side comparison
| Capability | MoonshotAI: Kimi K2.5 | Qwen: Qwen3.5-122B-A10B | 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. | $0.42 | $0.26 | 🏆 Qwen: Qwen3.5-122B-A10B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.20 | $2.08 | 🏆 Qwen: Qwen3.5-122B-A10B |
| 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 MoonshotAI: Kimi K2.5 better than Qwen: Qwen3.5-122B-A10B?
Qwen: Qwen3.5-122B-A10B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between MoonshotAI: Kimi K2.5 and Qwen: Qwen3.5-122B-A10B?
Input: $0.42 vs $0.26 per 1M tokens. Output: $2.20 vs $2.08 per 1M tokens.
What context windows do MoonshotAI: Kimi K2.5 and Qwen: Qwen3.5-122B-A10B support?
MoonshotAI: Kimi K2.5 supports up to 262K tokens. Qwen: Qwen3.5-122B-A10B supports up to 262K tokens.
Do both MoonshotAI: Kimi K2.5 and Qwen: Qwen3.5-122B-A10B support tool calling?
MoonshotAI: Kimi K2.5: yes. Qwen: Qwen3.5-122B-A10B: yes.