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Qwen models

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  • By Alibaba
    Code-focused Qwen model family aimed at code generation, reasoning, and fixing across multiple parameter sizes.
    NewCoding
    Released 5d ago
  • By Alibaba
    Qwen3.5-397B-A17B is a native vision-language model from Alibaba's Qwen team with 397B parameters (17B active per token). In the Qwen3.5-Plus hosted variant it supports up to 1M-token multimodal context, with strong reasoning, coding, and agentic tool use for large-scale deployment.
    NewMultimodal
    Released 7d ago
  • By Alibaba
    Qwen-Coder-Qoder is a reinforced code model based on Qwen-Coder, custom trained for the Qoder agentic coding platform to improve end to end programming performance inside its IDE and CLI workflows
    NewCoding
    Released 20d ago
  • By Alibaba
    Multilingual forced alignment model that aligns speech and transcripts in 11 languages, predicting timestamps for arbitrary units in up to 5 minutes of audio with accuracy surpassing previous end-to-end aligners.
    NewAudio
    Released 26d ago
  • By Alibaba
    Qwen3 Max Instruct is the trillion-parameter chat and tool-use version of Qwen3-Max, ranking near the top of LMArena and scoring about 69.6 on SWE-Bench Verified and 74.8 on Tau2 Bench for real-world coding and agent tasks.
    NewText
    Released 29d ago
  • By Alibaba
    Qwen3 Max Thinking is the heavy reasoning variant of Qwen3-Max that pairs a code interpreter with parallel test-time computation to reach perfect scores on AIME 25 and HMMT and tackle the hardest multi step math and logic tasks.
    NewText
    Released 1mo ago
  • By Alibaba
    Qwen’s open text-to-speech model supporting multilingual speech generation with custom voice capability.
    NewAudio
    Released 1mo ago
  • By Alibaba
    Qwen-Image-2512 is Qwen’s December 2025 update to its 20B text-to-image foundation model, with more realistic humans, finer natural textures and much better Chinese-English text rendering, released as open-source Apache-2.0 weights.
    NewImage
    Released 1mo ago
  • By Alibaba
    Qwen-Image-Edit-2511 is Qwen’s 20B image-edit diffusion model for natural language photo editing, upgrading 2509 with reduced image drift, stronger character and multi-person consistency, and built-in LoRA styles for stable, production-ready edits.
    NewImage
    Released 2mo ago
  • By Alibaba
    Qwen3-TTS-VC-Flash is Qwen’s VoiceClone voice-conversion model that clones any speaker from about 3 seconds of audio, then revoices speech in that identity across 10 languages with low word-error rates.
    NewAudio
    Released 2mo ago
  • By Alibaba
    Qwen3-TTS-VD-Flash is Alibaba Qwen's voice-design TTS model that creates fully custom voices from natural-language instructions, letting users control timbre, rhythm, emotion and persona for expressive, multilingual speech via the Qwen API.
    NewAudio
    Released 2mo ago
  • By Alibaba
    Qwen DeepResearch 2511 is a multi-step research model that plans queries, searches the web, reads pages and PDFs, extracts facts, and writes answers with citations. It supports long context, tool and function calling, and structured JSON logs for traceable results.
    Text
    Released 3mo ago
  • By Alibaba
    Qwen3 VL Flash is Alibaba’s fast vision-language model. It reads images with text, handles OCR and layout, explains charts and screenshots, and returns grounded answers or JSON. It is tuned for low latency, long context, tool calling, and cost-efficient multimodal assistants.
    Text
    Released 4mo ago
  • By Alibaba
    Qwen3-Max is Alibaba’s flagship Qwen3 model for high-accuracy reasoning, coding, and multilingual tasks. It supports long-context prompts, tool/function calling, and reliable JSON outputs, making it a strong fit for enterprise copilots, RAG pipelines, and agentic workflows
    Text
    Released 5mo ago
  • By Alibaba
    Qwen3-VL-235B A22B is Alibaba’s flagship MoE vision-language model. It takes images (docs, charts, screenshots, photos) plus text and returns grounded answers with strong OCR, layout understanding, and multi-image reasoning. The MoE routing activates ~22B parameters per token for frontier quality at practical latency, with long context, function/tool calling, and reliable JSON outputs.
    Text
    Released 5mo ago
  • By Alibaba
    Qwen 3 Coder Flash is the speed-tuned coding variant. It reads repos, writes diffs and tests, and supports long context, tool calling, and strict JSON or patch outputs.
    Text
    Released 5mo ago
  • By Alibaba
    Qwen3-ASR-Flash is Alibaba Qwen’s all-in-one speech recognition model, built on Qwen3-Omni to stream low-latency transcripts in 11 languages, robust to noise, music and code switching, with optional text prompts to bias recognition.
    Text
    Released 5mo ago
  • By Alibaba
    Qwen3-30B-A3B is Alibaba’s open-weight MoE LLM (Apache-2.0) with 30.5B params and ~3.3B activated. It supports toggleable “thinking” vs. non-thinking modes, strong agent/tool calling, 100+ languages, and a 32K native context (≈131K with YaRN). New 2507 variants raise context to 256K.
    Text
    Released 6mo ago
  • By Alibaba
    Qwen3-235B-A22B is Alibaba’s flagship open-source MoE LLM (Apache-2.0): 235B total parameters with 22B activated (128 experts, 8 active). It uniquely toggles thinking vs. non-thinking modes, supports 100+ languages, and excels at agentic tool use. Context is 32K native (≈131K with YaRN); the Instruct-2507 variant offers 256K native and up to ~1M tokens.
    Text
    Released 6mo ago
  • By Alibaba
    Qwen3 Coder is Alibaba’s code-focused Qwen3 variant. It handles repo-aware generation, completion, debugging, and test creation, with long context, tool and function calling, and strict JSON or diff outputs for IDEs and agents.
    Text
    Released 7mo ago
  • By Alibaba
    Qwen 3 is Alibaba’s flagship general model for strong reasoning, coding, and multilingual use. It supports long context, tool and function calling, streaming, and clean JSON output for RAG and agents.
    Text
    Released 9mo ago

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