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Qwen3.5-9B
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AlibabaAlibabaQwenReleased 2026-03-10

Qwen3.5-9B

262K context$0.100/M input$0.150/M output9B

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, featuring a 9-billion parameter architecture. It is designed for strong reasoning, coding, and visual understanding, utilizing a unified vision-language design with early fusion of multimodal tokens. This enables the model to process and reason across text and images within the same context efficiently.

What is Qwen3.5-9B?

Qwen3.5-9B is an AI model from Alibaba that Agent Mag tracks for pricing, context window, modalities, benchmarks, and API compatibility. Builders can use this page to compare Qwen3.5-9B against other models for agent workflows and production deployments.

Model ID

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, featuring a 9-billion parameter architecture. It is designed for strong reasoning, coding, and visual understanding, utilizing a unified vision-language design with early fusion of multimodal tokens. This enables the model to process and reason across text and images within the same context efficiently.

Architecture & Specifications
Architecture
Unified vision-language design with early fusion of multimodal tokens
Parameters
9B
Tokenizer
Qwen3
License
Proprietary
Released
2026-03-10
Modalities
Input
textimagevideo
Output
text
Supported Parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Strengths
  • Strong reasoning capabilities
  • Efficient multimodal processing of text and images
  • High performance in coding tasks
  • Graduate-level scientific reasoning
  • Instruction-following proficiency
Limitations
  • Low performance in research-level physics reasoning
  • Limited accuracy in economically valuable tasks
  • Moderate hallucination rate in knowledge-based tasks
  • Relatively low coding capability compared to leading models
  • Limited long-context reasoning performance
Recommended Use Cases
Scientific reasoning and analysis
Multimodal tasks involving text and images
Coding and programming support
Translation tasks
Health and finance-related applications

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Data enriched Apr 24, 2026. Pricing from OpenRouter API.