HomeQwen3 14B

Qwen3 14B

The mid-size dense Qwen3. Slug qwen/qwen3-14b, 131,072-token context, thinking mode on the model card.

Updated 2026-09-27

Qwen3-14B is a dense model of about 14.8 billion parameters. On 27 Sep 2026 OpenRouter priced it at $0.12 per million input tokens and $0.24 per million output tokens, with a 131,072-token context. The card describes the same thinking-mode switch as the 32B.

It is not automatically the budget pick in the family. Qwen3 32B was $0.08 / $0.28 that day, so a prompt-heavy job can cost less on the larger dense model. Qwen3.5 9B was $0.10 / $0.15 and adds image input. Use 14B when you have evals pinned to that size.

Questions

What is the Qwen3 14B model id?

qwen/qwen3-14b

How much does Qwen3 14B cost?

$0.12 per million input tokens and $0.24 per million output tokens on 27 Sep 2026.

Is 14B cheaper than 32B?

Not on the input rate checked that day. 32B was $0.08 input. 14B was $0.12 input. 14B was slightly cheaper on output.

Qwen3 32B
Qwen3 32B is a dense 32.8B model. On 27 Sep 2026 OpenRouter priced qwen/qwen3-32b at $0.08 input and $0.28 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.
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.
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.

Sources

Qwen3 14B