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

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
2024-09-19

Gemma 3 12B
2025-03-12
5 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 12B

Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications

Gemma 3 12B

Qwen2.5 7B Instruct
Average performance across 8 common benchmarks

Gemma 3 12B

Qwen2.5 7B Instruct
Performance comparison across key benchmark categories

Gemma 3 12B

Qwen2.5 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

Qwen2.5 7B Instruct
Together

Gemma 3 12B

Qwen2.5 7B Instruct