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

DeepSeek R1 Distill Qwen 14B
DeepSeek
DeepSeek R1 Distill Qwen 14B is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.5% across 4 benchmarks. It excels particularly in MATH-500 (93.9%), AIME 2024 (80.0%), GPQA (59.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20

Gemini 2.5 Flash
2025-05-20
4 months newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 14B

Gemini 2.5 Flash
Average performance across 2 common benchmarks

DeepSeek R1 Distill Qwen 14B

Gemini 2.5 Flash
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 14B

Gemini 2.5 Flash
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 14B

Gemini 2.5 Flash
ZeroEval

DeepSeek R1 Distill Qwen 14B

Gemini 2.5 Flash