GPT-3.5 Turbo vs QwQ-32B-Preview
QwQ-32B-Preview significantly outperforms across most benchmarks. QwQ-32B-Preview is 4.6x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-3.5 Turbo outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA). QwQ-32B-Preview significantly outperforms across most benchmarks.
On price, QwQ-32B-Preview is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
QwQ-32B-Preview also accepts a larger context window (32,768 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-3.5 Turbo
- you want predictable pricing at $0.50/M input and $1.50/M output
Choose QwQ-32B-Preview
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 4.6x cheaper per token
- you process long inputs — it offers a 32,768 token context window
- you want the most recent training data — it shipped Nov 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-3.5 Turbo outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).
QwQ-32B-Preview significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 3.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 7.5x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, GPT-3.5 Turbo is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
QwQ-32B-Preview accepts 32,768 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. QwQ-32B-Preview can generate longer responses up to 32,768 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
GPT-3.5 Turbo is licensed under a proprietary license, while QwQ-32B-Preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-3.5 Turbo was released on 2023-03-21, while QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 21 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.4 years ago
Nov 28, 2024
1.7 years ago
1.7yr newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a knowledge cutoff of 2021-09-30, while QwQ-32B-Preview has a cutoff of 2024-11-28.
QwQ-32B-Preview has more recent training data (up to 2024-11-28), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).
Sep 2021
Nov 2024
3.2 yr newerProvider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-3.5 Turbo
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-3.5 Turbo vs QwQ-32B-Preview.