Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 17.8% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview is the stronger choice for coding tasks.
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
Alibaba Cloud / Qwen Team
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
4 months newer

QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28

GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)

GPT-4.1 nano

QwQ-32B-Preview
Context window and performance specifications
Average performance across 2 common benchmarks

GPT-4.1 nano

QwQ-32B-Preview
GPT-4.1 nano
2024-05-31
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

QwQ-32B-Preview

GPT-4.1 nano

QwQ-32B-Preview

GPT-4.1 nano

QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
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