Qwen: Qwen3.5-9B
qwen/qwen3.5-9b
Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context.
Model specifications
- Input
- text, image, video
- Output
- text
- Context
- 262,144 tokens
- Max output
- 262,144 tokens
- Input price
- $0.04 / 1M tokens
- Output price
- $0.15 / 1M tokens
- Released
- 2026-03-11
Capabilities
- Streaming
- Function calling
- Vision
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
2 available providers · tier input average $0.105 / 1M tokens · tier output average $0.2 / 1M tokens
DeepInfra
Tier: Standard · Region: US · Quantization: fp16
Pricing
- Input
- $0.04 / 1M tokens
- Output
- $0.15 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- No
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Together
Tier: Standard · Region: US · Quantization: fp8
Pricing
- Input
- $0.17 / 1M tokens
- Output
- $0.25 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- No
- Data retention
- Unknown retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- No
- HIPAA compliant
- No
- SOC 2 certified
- No
- BYOK supported
- No
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is Qwen: Qwen3.5-9B?
- Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architecture. It uses a unified vision-language design with early fusion of multimodal tokens, allowing the model to process and reason across text and images within the same context.
- How much does Qwen: Qwen3.5-9B cost?
- Input costs start at $0.04 / 1M tokens and output costs start at $0.15 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Qwen: Qwen3.5-9B?
- Qwen: Qwen3.5-9B supports a 262,144 token context window and up to 262,144 output tokens.
- What capabilities does Qwen: Qwen3.5-9B support?
- Qwen: Qwen3.5-9B supports Streaming, Function calling, Vision, JSON mode, Playground.
- Which providers offer Qwen: Qwen3.5-9B?
- Qwen: Qwen3.5-9B is available from DeepInfra, Together.
- How do providers handle data privacy for Qwen: Qwen3.5-9B?
- 2 of 2 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.