Qwen3.5 2B via DeepInfra: Latency, Throughput & Cost

Qwen3.5 2B is a compact, 2-billion parameter model from Alibaba Cloud's Qwen3.5 Small Model Series, launched in March 2026, featuring an Efficient Hybrid Architecture that combines Gated Delta Networks and sparse Mixture-of-Experts for high-throughput inference with low latency. Unlike earlier models, it offers native multimodal capabilities, processing text and images within the same latent space, which enhances spatial reasoning and OCR accuracy. It supports 201 languages and dialects and features a 262,144-token context window, extendable to 1 million tokens via YaRN, while employing extended chain-of-thought reasoning for problem-solving. The model, released under the Apache 2.0 license for commercial use and fine-tuning, is available via DeepInfra, which provides the fastest output speed, lowest latency, and competitive pricing, making it suitable for both interactive and batch workloads. DeepInfra records a median Time to First Token (TTFT) of 0.36 seconds and an output speed of 347.6 tokens per second, with a blended price of $0.04 per 1 million tokens, offering cost-efficient deployment for high-volume applications.

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