Model Comparison

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

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). 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.

Alibaba

QvQ-72B-Preview

Alibaba

QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

QvQ-72B-Preview

Alibaba

2024-12-25

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

2025-01-20

26 days newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Llama 70B

Larger context
Max Context:256.0K
Parameters:70.6B
Alibaba

QvQ-72B-Preview

Max Context:-
Parameters:73.4B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Llama 70B

math
+40.9%
94.5%
general
+55.6%
76.0%
Alibaba

QvQ-72B-Preview

math
53.6%
general
20.4%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Llama 70B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
Alibaba

QvQ-72B-Preview

0 providers
DeepSeek

DeepSeek R1 Distill Llama 70B

Avg Score:0.0%
Providers:1
Alibaba

QvQ-72B-Preview

Avg Score:0.0%
Providers:0