{"slug":"qwen3","name":"Qwen3","domain":"qwen.ai","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank Qwen3 #3 of 13 for open-weight llm. Source: https://modelsagree.com/product/qwen3 (modelsagree.com, CC BY 4.0).","best_rank":3,"categories":1,"brief":{"category":"best-open-weight-llm","title":"Best open-weight LLM","rank":3,"of":13,"top":"DeepSeek-V4","day":"2026-07-17","why":[{"t":"Complete open family across sizes","m":["Claude","Grok"],"q":"sizes from sub-1B to 235B MoE sharing one behavior profile"},{"t":"Excellent multilingual and long-context support","m":["Claude","Grok"],"q":"excellent multilingual/long-context support"},{"t":"Strong coding and reasoning variants","m":["Claude","Grok"],"q":"Versatile family with strong coding/reasoning variants"},{"t":"Deep fine-tuning and quantization ecosystem","m":["Claude"],"q":"the deepest fine-tuning/quantization ecosystem"}],"gap":[{"t":"Frontier-level agentic intelligence","m":["Gemini","ChatGPT","Grok"],"q":"frontier-level intelligence for coding, reasoning, and agentic workflows"},{"t":"Exceptional reasoning and agentic execution","m":["Gemini","ChatGPT","Grok"],"q":"exceptional reasoning, coding, long-context processing, agentic execution"}],"fix":[{"t":"Improve top-end reasoning and agentic performance","m":["Claude"],"q":"Top-end reasoning and agentic performance still trails DeepSeek and Kimi at the frontier"},{"t":"Optimize larger variants for single-GPU runs","m":["Grok"],"q":"some larger ones less optimized for single-GPU local runs"},{"t":"Reduce performance variation by variant","m":["Grok"],"q":"Performance can vary by specific variant"}]},"entries":[{"slug":"best-open-weight-llm","title":"Best open-weight LLM","rank":3,"of":13,"score":6,"appearances":2,"modelRanks":{"Claude":2,"Grok":4},"reason":"The most complete open family for application builders — Apache 2.0, sizes from sub-1B to 235B MoE sharing one behavior profile, first-rate multilingual coverage, strong function calling, and the deepest fine-tuning/quantization ecosystem, so one stack scales from edge to server; near-tie with DeepSeek, losing only on peak reasoning quality","reasons":[{"model":"Claude","reason":"The most complete open family for application builders — Apache 2.0, sizes from sub-1B to 235B MoE sharing one behavior profile, first-rate multilingual coverage, strong function calling, and the deepest fine-tuning/quantization ecosystem, so one stack scales from edge to server; near-tie with DeepSeek, losing only on peak reasoning quality"},{"model":"Grok","reason":"Versatile family with strong coding/reasoning variants, hybrid modes, Apache 2.0 license, and excellent multilingual/long-context support; practical for diverse app development with good efficiency across sizes."}],"fixes":[{"model":"Claude","fix":"Top-end reasoning and agentic performance still trails DeepSeek and Kimi at the frontier, so it is not the pick when maximum single-model capability matters more than deployment flexibility"},{"model":"Grok","fix":"Performance can vary by specific variant; some larger ones less optimized for single-GPU local runs."}],"updated":"2026-07-15","api":"https://modelsagree.com/api/v1/best/best-open-weight-llm.json"}],"page":"https://modelsagree.com/product/qwen3","check":"https://modelsagree.com/check?q=Qwen3","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}