Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemini 1.0 Pro
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Gemini 1.0 Pro
2024-02-15

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

Gemini 1.0 Pro

Qwen3-235B-A22B-Thinking-2507
Performance Metrics
Context window and performance specifications

Gemini 1.0 Pro

Qwen3-235B-A22B-Thinking-2507
Average performance across 1 common benchmarks

Gemini 1.0 Pro

Qwen3-235B-A22B-Thinking-2507
Performance comparison across key benchmark categories

Gemini 1.0 Pro

Qwen3-235B-A22B-Thinking-2507
Gemini 1.0 Pro
2024-02-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.0 Pro

Qwen3-235B-A22B-Thinking-2507
Novita

Gemini 1.0 Pro

Qwen3-235B-A22B-Thinking-2507