Model Comparison

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.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

QwQ-32B-Preview costs less

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

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input tokens$0.15
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

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.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Alibaba Cloud / Qwen Team
QwQ-32B-Preview
Input32,768 tokens
Output32,768 tokens
Mon Apr 20 2026 • llm-stats.com

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.

GPT-3.5 Turbo

Proprietary

Closed source

QwQ-32B-Preview

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.

GPT-3.5 Turbo

Mar 21, 2023

3.1 years ago

QwQ-32B-Preview

Nov 28, 2024

1.4 years ago

1.7yr newer

Knowledge 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).

GPT-3.5 Turbo

Sep 2021

QwQ-32B-Preview

Nov 2024

3.2 yr newer

Provider Availability

GPT-3.5 Turbo is available from Azure, OpenAI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

QwQ-32B-Preview

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Alibaba Cloud / Qwen Team

QwQ-32B-Preview

View details

Alibaba Cloud / Qwen Team

Larger context window (32,768 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (65.2% vs 30.8%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-3.5 Turbo
Alibaba Cloud / Qwen Team
QwQ-32B-Preview

FAQ

Common questions about GPT-3.5 Turbo vs QwQ-32B-Preview

QwQ-32B-Preview significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and QwQ-32B-Preview is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. QwQ-32B-Preview scores MATH-500: 90.6%, GPQA: 65.2%, AIME 2024: 50.0%, LiveCodeBench: 50.0%.
QwQ-32B-Preview is 3.3x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. QwQ-32B-Preview costs $0.15/M input and $0.20/M output via deepinfra.
GPT-3.5 Turbo supports 16K tokens and QwQ-32B-Preview supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (16K vs 33K), input pricing ($0.50 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-3.5 Turbo is developed by OpenAI and QwQ-32B-Preview is developed by Alibaba Cloud / Qwen Team.