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

Gemini 1.5 Flash 8B
Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). 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 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Gemini 1.5 Flash 8B
2024-03-15

Qwen3 32B
Alibaba
2025-04-29
1 year newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Flash 8B

Qwen3 32B
Performance Metrics
Context window and performance specifications

Gemini 1.5 Flash 8B

Qwen3 32B
Performance comparison across key benchmark categories

Gemini 1.5 Flash 8B

Qwen3 32B
Gemini 1.5 Flash 8B
2024-10-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Flash 8B

Qwen3 32B
Sambanova
DeepInfra
Novita

Gemini 1.5 Flash 8B

Qwen3 32B