Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 2.6% higher average benchmark score. Gemini 2.5 Pro offers 727.0K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. Qwen3-235B-A22B-Thinking-2507 is $7.95 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
2 months newer

Gemini 2.5 Pro
2025-05-20

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Cost per million tokens (USD)

Gemini 2.5 Pro

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 3 common benchmarks

Gemini 2.5 Pro

Qwen3-235B-A22B-Thinking-2507
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics

Gemini 2.5 Pro
ZeroEval


Gemini 2.5 Pro

Qwen3-235B-A22B-Thinking-2507

Gemini 2.5 Pro

Qwen3-235B-A22B-Thinking-2507
Qwen3-235B-A22B-Thinking-2507
Novita