Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 6.8% higher average benchmark score. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
Alibaba / Qwen
Qwen3-235B-A22B, released by Alibaba's Qwen team on April 28, 2025, is a Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters per inference. It features a 256K token context window, hybrid thinking capabilities (both reasoning and direct generation modes), and was trained on 36 trillion tokens across 119 languages. Qwen3-235B targets complex reasoning, multilingual tasks, and open-source deployments under the Apache 2.0 license.
7 months newer
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28
Context window and performance specifications
Average performance across 1 common benchmarks
Qwen2.5 72B Instruct
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Qwen2.5 72B Instruct
Qwen3-235B-A22B
Available providers and their performance metrics
Qwen2.5 72B Instruct
Qwen3-235B-A22B
OpenRouter
Qwen2.5 72B Instruct
Qwen3-235B-A22B
Qwen2.5 72B Instruct
Qwen3-235B-A22B