Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 1.8% higher average benchmark score. Qwen3 235B A22B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
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.
7 months newer

Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Context window and performance specifications
Average performance across 9 common benchmarks

Qwen2.5 14B Instruct

Qwen3 235B A22B
Available providers and their performance metrics

Qwen2.5 14B Instruct

Qwen3 235B A22B
DeepInfra

Qwen2.5 14B Instruct

Qwen3 235B A22B

Qwen2.5 14B Instruct

Qwen3 235B A22B
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