Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 15.3% higher average benchmark score. Gemini 1.5 Pro offers 1.7M more tokens in context window than Qwen3-235B-A22B-Thinking-2507. Qwen3-235B-A22B-Thinking-2507 is $9.20 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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.
1 year newer

Gemini 1.5 Pro
2024-05-01

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

Gemini 1.5 Pro

Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 2 common benchmarks

Gemini 1.5 Pro

Qwen3-235B-A22B-Thinking-2507
Gemini 1.5 Pro
2023-11-01
Available providers and their performance metrics

Gemini 1.5 Pro

Qwen3-235B-A22B-Thinking-2507

Gemini 1.5 Pro

Qwen3-235B-A22B-Thinking-2507

Gemini 1.5 Pro

Qwen3-235B-A22B-Thinking-2507
Novita