Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 20.2% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Qwen3 235B A22B. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B 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
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
15 days newer

GPT-4.1 nano
OpenAI
2025-04-14

Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)

GPT-4.1 nano

Qwen3 235B A22B
Context window and performance specifications
Average performance across 4 common benchmarks

GPT-4.1 nano

Qwen3 235B A22B
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Qwen3 235B A22B

GPT-4.1 nano

Qwen3 235B A22B

GPT-4.1 nano

Qwen3 235B A22B
DeepInfra
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Novita
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