Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 12.8% higher average benchmark score. Gemini 1.5 Pro offers 2.0M more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Qwen3-235B-A22B-Instruct-2507 is $11.55 cheaper per million tokens. Gemini 1.5 Pro supports multimodal inputs. Overall, Qwen3-235B-A22B-Instruct-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 Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
1 year newer

Gemini 1.5 Pro
2024-05-01

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Cost per million tokens (USD)

Gemini 1.5 Pro

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

Gemini 1.5 Pro

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

Gemini 1.5 Pro

Qwen3-235B-A22B-Instruct-2507

Gemini 1.5 Pro

Qwen3-235B-A22B-Instruct-2507

Gemini 1.5 Pro

Qwen3-235B-A22B-Instruct-2507
Novita