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

Gemini 1.5 Flash
Gemini 1.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.8% across 22 benchmarks. It excels particularly in XSTest (97.0%), HellaSwag (86.5%), GSM8k (86.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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 1.5 Flash
2024-05-01

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

Gemini 1.5 Flash

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

Gemini 1.5 Flash

Qwen3-235B-A22B-Thinking-2507
Average performance across 2 common benchmarks

Gemini 1.5 Flash

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

Gemini 1.5 Flash

Qwen3-235B-A22B-Thinking-2507
Gemini 1.5 Flash
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash

Qwen3-235B-A22B-Thinking-2507
Novita

Gemini 1.5 Flash

Qwen3-235B-A22B-Thinking-2507