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

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 DeepSeek's latest advancement in AI technology.

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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.

Gemini 1.5 Pro
2024-05-01

DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
8 months newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek R1 Distill Qwen 32B

Gemini 1.5 Pro
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 32B

Gemini 1.5 Pro
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 32B

Gemini 1.5 Pro
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 32B

Gemini 1.5 Pro
Gemini 1.5 Pro
2023-11-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

Gemini 1.5 Pro

DeepSeek R1 Distill Qwen 32B

Gemini 1.5 Pro