A versatile dense model offering powerful reasoning abilities paired with efficient dialogue processing. Developed by Alibaba, it supports extensive 32K context windows (extendable to 131K), features both thinking and non-thinking modes, and excels in coding, mathematics, and multilingual support across 119 languages and dialects.
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deepinfraRequest parameters you can send with this model.
Median throughput and time to first token per provider over the last week.
OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.
<FASTROUTER_API_KEY> with your key · Get your key →InstallQwen/Qwen2.5-72B-InstructAlibaba's largest Qwen2.5 model featuring improved capabilities in coding, mathematics, and instruction following across more than 29 languages. With 72B parameters and 128K context support, it delivers top-tier performance for complex tasks requiring deep context understanding and sophisticated reasoning.
Qwen/Qwen3-30B-A3BA Mixture-of-Experts model that activates only 3.3B of its 30.5B parameters per forward pass. Offers dual thinking modes: a detailed step-by-step reasoning mode for complex problems and a faster non-thinking mode for simpler queries. Despite its small active parameter count, it outperforms QwQ-32B that has 10 times more activated parameters.
qwen/qwen-imageQwen-Image is an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing. It supports parallel CFG and LoRA merging (up to 3 LoRAs), configurable inference steps, and an optional turbo mode for faster generation using optimized settings (10 steps, CFG=1.2).
qwen/qwen-image-2512Qwen Image 2512 is an improved version of Qwen Image with better text rendering, finer natural textures, and more realistic human generation. This 20B MMDiT model achieved top ranking among open-source models after 10,000 blind comparison rounds on AI Arena, released December 31, 2025, and is licensed under Apache 2.0.
qwen/qwen-image-3Qwen-Image 3.0 is a general-purpose image generation and editing model that balances quality and speed. It excels at complex text rendering (multi-line, paragraph-level layouts), fine detail, and realistic textures, and supports both text-to-image (T2I) and image-to-image/editing (I2I) on DashScope's multimodal-generation endpoint.
qwen/qwen-image-3-proQwen-Image 3.0 Pro is the high-quality tier of the Qwen-Image 3.0 series, offering stronger text rendering, more realistic textures, and better semantic adherence for both text-to-image (T2I) and image-to-image/editing (I2I). Output resolution ranges from 512x512 up to 2048x2048 (PNG).
qwen/qwen3-32bQwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for tasks like math, coding, and logical inference, and a "non-thinking" mode for faster, general-purpose conversation. The model demonstrates strong performance in instruction-following, agent tool use, creative writing, and multilingual tasks across 100+ languages and dialects. It natively handles 32K token contexts and can extend to 131K tokens using YaRN-based scaling.
qwen/qwen3-embedding-8bQwen3-Embedding-8B is the largest model in the Qwen3 Embedding series, purpose-built for text embedding and retrieval tasks. It ranks No.1 on the MTEB multilingual leaderboard, supports 100+ languages, and produces embeddings up to 4096 dimensions with support for user-defined output dimensions (Matryoshka Representation Learning) from 32 to 4096. The model is instruction-aware, allowing custom task instructions to be prepended to inputs for improved retrieval performance, and supports a 32K token context length.
Model scores sourced from ArtificialAnalysis