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Model Detail
Qwen3-8B
โProvider: QwenCategory: llmPipeline: text-generationParameters: 8B
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8.8M
Likes
1K
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Week
-4.3%
Month
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Pricing
Input ($/M tokens)
$0.04
Output ($/M tokens)
$0.14
Context Window
33K
Research Paper
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Robustness Risk of Conversational Retrieval: Identifying and Mitigating Noise Sensitivity in Qwen3-Embedding Model
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arxivneutral4d ago
Gemma 4, Phi-4, and Qwen3: Accuracy-Efficiency Tradeoffs in Dense and MoE Reasoning Language Models
arXiv:2604.07035v1 Announce Type: new Abstract: Mixture-of-experts (MoE) language models are often expected to offer better quality-efficiency tradeoffs than dense models because only a subset of parameters is activated per token, but the practical value of that advantage depends on end-to-end behav