Qwen3.5 9B Abliterated
qwen/qwen3.5-9b-abliterated
huihui-ai's abliteration of Qwen3.5 9B: a small model with refusals removed from the weights and reasoning, vision and tool calling kept. Thinking is off unless you turn it on. Huihui-ai's card identifies a modified Qwen3.5-9B checkpoint created through abliteration and labels it image-to-text. This is a small modified vision-language model for language, coding and reasoning workloads. Unlid documents thinking as disabled by default and permits enabling it. Unlid declares a 32,768-token context and up to 32,768 output tokens. Input: text, image; output: text. Tool calling is supported. Reasoning is supported; it can be disabled. Reasoning tokens, when generated, count toward the output budget and are charged as output. Prices are USD per million tokens from the live catalog; missing cache discounts use the normal input price under Unlid billing rules. Limits and capabilities are provider declarations, not results of an inference test.
Model specifications
- Input
- text, image
- Output
- text
- Context
- 32,768 tokens
- Max output
- 32,768 tokens
- Input price
- $0.816 / 1M tokens
- Output price
- $1.2 / 1M tokens
- Released
- 2026-10-07
Capabilities
- Streaming
- Function calling
- Vision
- JSON mode
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
1 available provider · tier input average $0.816 / 1M tokens · tier output average $1.2 / 1M tokens
Unlid
Tier: Standard · Region: US
Pricing
- Input
- $0.816 / 1M tokens
- Output
- $1.2 / 1M tokens
- Cache read
- $0.816 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- No
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- No
- HIPAA compliant
- No
- SOC 2 certified
- No
- BYOK supported
- No
Frequently asked questions
- What is Qwen3.5 9B Abliterated?
- huihui-ai's abliteration of Qwen3.5 9B: a small model with refusals removed from the weights and reasoning, vision and tool calling kept. Thinking is off unless you turn it on. Huihui-ai's card identifies a modified Qwen3.5-9B checkpoint created through abliteration and labels it image-to-text. This is a small modified vision-language model for language, coding and reasoning workloads. Unlid documents thinking as disabled by default and permits enabling it. Unlid declares a 32,768-token context and up to 32,768 output tokens. Input: text, image; output: text. Tool calling is supported. Reasoning is supported; it can be disabled. Reasoning tokens, when generated, count toward the output budget and are charged as output. Prices are USD per million tokens from the live catalog; missing cache discounts use the normal input price under Unlid billing rules. Limits and capabilities are provider declarations, not results of an inference test.
- How much does Qwen3.5 9B Abliterated cost?
- Input costs start at $0.816 / 1M tokens and output costs start at $1.2 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Qwen3.5 9B Abliterated?
- Qwen3.5 9B Abliterated supports a 32,768 token context window and up to 32,768 output tokens.
- What capabilities does Qwen3.5 9B Abliterated support?
- Qwen3.5 9B Abliterated supports Streaming, Function calling, Vision, JSON mode.
- Which providers offer Qwen3.5 9B Abliterated?
- Qwen3.5 9B Abliterated is available from Unlid.
- How do providers handle data privacy for Qwen3.5 9B Abliterated?
- 1 of 1 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.