Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B leads with 3.2% higher average benchmark score. Gemini 2.5 Pro offers 737.9K more tokens in context window than Qwen3-235B-A22B. Qwen3-235B-A22B is $10.25 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Google DeepMind
Gemini 2.5 Pro, released by Google in May 2025, is a large language model from the Gemini 2.5 family designed for complex reasoning, coding, and long-context analysis tasks. It features a 1M token context window, native support for text, image, video, and audio input, and integrated thinking capabilities for multi-step problem solving. Gemini 2.5 Pro targets advanced coding workflows, scientific reasoning, and applications requiring deep understanding across large, mixed-modality contexts.
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.
22 days newer
Qwen3-235B-A22B
Alibaba / Qwen
2025-04-28

Gemini 2.5 Pro
Google DeepMind
2025-05-20
Cost per million tokens (USD)
Gemini 2.5 Pro
Qwen3-235B-A22B
Context window and performance specifications
Average performance across 1 common benchmarks
Gemini 2.5 Pro
Qwen3-235B-A22B
Performance comparison across key benchmark categories
Gemini 2.5 Pro
Qwen3-235B-A22B
Available providers and their performance metrics
Gemini 2.5 Pro
Google Cloud Vertex AI
Qwen3-235B-A22B
Gemini 2.5 Pro
Qwen3-235B-A22B
Gemini 2.5 Pro
Qwen3-235B-A22B
OpenRouter