The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the 3 series, these m…
Model details →Qwen: Qwen3.5-Flash vs xAI: Grok 4 Fast
Qwen: Qwen3.5-Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Grok 4 Fast is xAI's latest multimodal model with SOTA cost-efficiency and a 2M token context window. It comes in two flavors: non-reasoning and reasoning. Read more about the model on xAI's [news post](http://x.ai/news/grok-4-fast). Reaso…
Model details →Side-by-side comparison
| Capability | Qwen: Qwen3.5-Flash | xAI: Grok 4 Fast | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1M | 2M | 🏆 xAI: Grok 4 Fast |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.07 | $0.20 | 🏆 Qwen: Qwen3.5-Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.26 | $0.50 | 🏆 Qwen: Qwen3.5-Flash |
| 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: Qwen3.5-Flash better than xAI: Grok 4 Fast?
Qwen: Qwen3.5-Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Qwen: Qwen3.5-Flash and xAI: Grok 4 Fast?
Input: $0.07 vs $0.20 per 1M tokens. Output: $0.26 vs $0.50 per 1M tokens.
What context windows do Qwen: Qwen3.5-Flash and xAI: Grok 4 Fast support?
Qwen: Qwen3.5-Flash supports up to 1M tokens. xAI: Grok 4 Fast supports up to 2M tokens.
Do both Qwen: Qwen3.5-Flash and xAI: Grok 4 Fast support tool calling?
Qwen: Qwen3.5-Flash: yes. xAI: Grok 4 Fast: yes.