Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B leads with 2.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
Alibaba / Qwen
Qwen2.5-7B-Instruct is a 7-billion-parameter open-weight language model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens with improved code, math, and multilingual coverage. The model delivers significantly stronger instruction-following, structured output generation, and long-context handling compared to its predecessor, supporting 128K context windows in a compact form factor. It became widely adopted as a foundation for fine-tuning, RAG pipelines, and on-device deployment due to its balance of capability and efficiency.
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 7B 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 7B Instruct
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Qwen2.5 7B Instruct
Qwen3-235B-A22B
Available providers and their performance metrics
Qwen2.5 7B Instruct
Qwen3-235B-A22B
OpenRouter
Qwen2.5 7B Instruct
Qwen3-235B-A22B
Qwen2.5 7B Instruct
Qwen3-235B-A22B