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 62.5% 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.

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.

Gemma 3 12B
2025-03-12

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

Gemma 3 12B

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

Gemma 3 12B

Qwen3-235B-A22B-Thinking-2507
Average performance across 3 common benchmarks

Gemma 3 12B

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

Gemma 3 12B

Qwen3-235B-A22B-Thinking-2507
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

Qwen3-235B-A22B-Thinking-2507
Novita

Gemma 3 12B

Qwen3-235B-A22B-Thinking-2507