Qwen3.5 9B

• Type: Generation
• Capabilities: vision, reasoning
• Cache read: $0.02 per 1M input tokens (0.25× standard input price). See prompt caching.

Overview

Qwen3.5-9B is a compact 9B parameter reasoning model with a 262K token native context length, designed for strong reasoning performance while remaining extremely cost-efficient. Despite its small size, it performs remarkably well on complex tasks and in Qwen's benchmarks outperformed the, much larger, GPT-OSS-120 model.

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Thinking Mode:

This model reasons step-by-step before responding by default.

This model does not support graduated thinking levels. Parameters such as reasoning_effort are not supported and will have no effect.

Reasoning efforts

• Supported: none, minimal, low, medium, high, xhigh, max

See the reasoning effort guide for request examples.

Pricing

Priority	Input Tokens (per 1M)	Cache Read Tokens (per 1M)	Output Tokens (per 1M)
Realtime1	$0.10	$0.02	$0.15
Async	$0.08	$0.02	$0.11
Batch (24h)	$0.05	$0.01	$0.08

Playground

Open this model in the Playground.

Footnotes

1. Realtime availability is limited. Doubleword is primarily a batch API. ↩