+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-R1 vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2 72B was developed as the flagship model in the Qwen2 generation, designed to provide advanced language understanding with 72 billion parameters. Built to deliver strong performance across diverse tasks, it represented a significant advancement in Qwen's model capabilities when introduced.
6 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
DeepSeek-R1
DeepSeek
2025-01-20
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-R1
5 providers
DeepInfra
Throughput: 0.9 tok/s
Latency: 0.3ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Fireworks
Throughput: 2.1 tok/s
Latency: 0.3ms
Together
Throughput: 4 tok/s
Latency: 0.6ms
ZeroEval
+
+
+
+
DeepSeek-R1
Avg Score:0.0%
Providers:5
+
+
+
+
Qwen2 72B Instruct
Avg Score:0.0%
Providers:0