QwenReleased on Nov 28, 2024

QwQ-32B-Preview: Benchmarks, Pricing & Context Window

QwQ-32B-Preview is a language model from Qwen, released in November 2024.

An experimental research model focused on advancing AI reasoning capabilities, particularly excelling in mathematics and programming. Features deep introspection and self-questioning abilities while having some limitations in language

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Output
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QwQ-32B-Preview pricing

Providers

QwQ-32B-Preview starts at $0.150 per million input tokens and $0.600 per million output tokens via DeepInfra. See all 4 providers below with their per-token pricing, latency, throughput, and modality support.

ProviderInput $/MOutput $/MMax InputMax OutputLatency sThroughputQuantInputOutput
DeepInfra logoDeepInfra
$0.150$0.60032.8K32.8K
0.44
76 c/s
Hyperbolic logoHyperbolic
$0.200$0.20032.8K32.8K
1.05
32 c/s
Fireworks logoFireworks
$0.890$0.89032.8K32.8K
0.53
99 c/s
Together logoTogether
$1.20$1.2032.8K32.8K
0.74
62 c/s
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QwQ-32B-Preview API

API access coming soon

QwQ-32B-Preview will be available through our gateway shortly.

QwQ-32B-Preview examples

Recent arena outputs from QwQ-32B-Preview, picked from the highest-ranked matchups.

QwQ-32B-Preview license

QwQ-32B-Preview is released under the Apache 2.0 license, which permits commercial use, has 32.5B parameters, has a knowledge cutoff of November 2024.

License
Apache 2.0
Commercial use allowed
Parameters
32.5B
Knowledge cutoff
November 2024

Apache License 2.0 - allows commercial use

FAQ

Common questions about QwQ-32B-Preview.

What is the QwQ-32B-Preview release date?

QwQ-32B-Preview was released on November 28, 2024 by Qwen.

Who created QwQ-32B-Preview?

QwQ-32B-Preview was created by Qwen.

How many parameters does QwQ-32B-Preview have?

QwQ-32B-Preview has 32.5 billion parameters.

What is the license for QwQ-32B-Preview?

QwQ-32B-Preview is released under the Apache 2.0 license. This is an open-source/open-weight license.

What is the knowledge cutoff date for QwQ-32B-Preview?

QwQ-32B-Preview has a knowledge cutoff of November 2024. This means the model was trained on data up to this date and may not have information about events after this time.