Qwen3.5 0.8B API Benchmarks: Latency, Throughput & Cost

Qwen3.5 0.8B, a model in Alibaba Cloud's Qwen3.5 Small Model Series, focuses on delivering high-quality performance on edge devices and mobile phones while maintaining low memory and battery use. This model, designed with an Efficient Hybrid Architecture that includes Gated Delta Networks and sparse Mixture-of-Experts, supports a context window of 262,000 tokens and provides native multimodal capabilities through early fusion training. Released under the Apache 2.0 license for commercial use, it supports 201 languages and dialects, extended reasoning, and function calling for agentic workflows. DeepInfra is the sole benchmarked provider for Qwen3.5 0.8B, offering superior performance metrics like a median TTFT of 0.37 seconds, a throughput of 403.5 tokens per second, and a cost-effective blended price of $0.02 per million tokens. These features, combined with its robust support for JSON mode and function calling, make it an ideal choice for both real-time and batch processing applications.

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