qwq-32b-preview vs gpt-4o-2024-11-20
Pricing, Performance & Features Comparison
Context Length33K
Reasoning
Providers1
ReleasedNov 2024
Knowledge CutoffOct 2023
LicenseApache License 2.0
QwQ-32B-Preview is an experimental research model focusing on AI reasoning, with strong capabilities in math and coding. It features 32.5 billion parameters and a 32,768-token context window, leveraging transformer architecture with RoPE and advanced attention mechanisms. Despite its strengths, it has certain language mixing and reasoning limitations that remain areas of active research.
Input$0.17
Output$0.7
Latency (p50)-
Output Limit512
Function Calling
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JSON Mode
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InputText, Image
OutputText
in$0.17out$0.7--
Success Rate (24h)
The model’s creative writing ability has leveled up–more natural, engaging, and tailored writing to improve relevance & readability. It’s also better at working with uploaded files, providing deeper insights & more thorough responses.
Input$2.5
Output$10
Latency (p50)1.8s
Output Limit16K
Function Calling
JSON Mode
InputText, Image
OutputText
in$2.5out$10cache$1.3-