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Qwen3 32B
A dense 32B with a thinking mode and a 131,072-token window. The slug is qwen/qwen3-32b.
Updated 2026-09-27
Qwen3-32B is a 32.8 billion parameter dense model from Alibaba’s Qwen3 series. OpenRouter’s card says it can switch between a thinking mode for harder problems and a direct mode for ordinary dialogue. Context on the models API was 131,072 tokens.
| Field | Value on 27 Sep 2026 |
|---|---|
| Slug | qwen/qwen3-32b |
| Input | $0.08 / million tokens |
| Output | $0.28 / million tokens |
| Context | 131,072 |
| Shape | Dense, about 32.8B |
Against Qwen3 14B ($0.12 / $0.24) the 32B is cheaper on input and slightly more expensive on output, with more parameters. Against Qwen3 235B A22B it is the small dense option: lower price, shorter expertise on hard reasoning. Qwen3.7 Max is a different generation and costs about twenty times more on input.
Weights are open. You can run the model yourself. The OpenRouter price is the hosted rate, not a license fee.
Questions
How much is Qwen3 32B?
$0.08 per million input tokens and $0.28 per million output tokens on 27 Sep 2026.
What is the model string?
qwen/qwen3-32b
Is Qwen 32B the same as Qwen3.5 9B?
No. Qwen3 32B is the older dense 32B. Qwen3.5 9B is a later 9B multimodal model with a 262,144-token window.
Related
- Qwen3 14B
Qwen3 14B is a dense 14.8B model. OpenRouter listed qwen/qwen3-14b at $0.12 input and $0.24 output per million tokens.
- Qwen3 235B
Qwen3 235B A22B activates 22B of 235B parameters. On 27 Sep 2026 it was $0.455 input and $1.82 output per million tokens.
- Qwen 3.5 9B
Qwen3.5-9B is a 9B multimodal model. OpenRouter listed qwen/qwen3.5-9b at $0.10 input and $0.15 output per million tokens, with a 262K context.
- Open-weight models
Open-weight models you can call on OpenRouter in Sep 2026 include DeepSeek V4, Qwen3 32B and 235B, GLM 5.2, and the free Gemma and Nemotron slugs.