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

DeepSeek VL2 Tiny
DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME25 (87.8%). It supports a 131K 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.

DeepSeek VL2 Tiny
DeepSeek
2024-12-13

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-01-10
28 days newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Tiny

Qwen3-Next-80B-A3B-Thinking
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

Qwen3-Next-80B-A3B-Thinking
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny

Qwen3-Next-80B-A3B-Thinking
Novita

DeepSeek VL2 Tiny

Qwen3-Next-80B-A3B-Thinking