Model Comparison

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

DeepSeek

DeepSeek-R1

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Alibaba

Qwen2.5 72B Instruct

Alibaba

Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. 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

Qwen2.5 72B Instruct

Alibaba

2024-09-19

DeepSeek

DeepSeek-R1

DeepSeek

2025-01-20

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-R1

Input:$0.55
Output:$2.19
Alibaba

Qwen2.5 72B Instruct

$1.99 cheaper
Input:$0.35
Output:$0.40

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1

Larger context
Max Context:262.1K
Parameters:671.0B
Alibaba

Qwen2.5 72B Instruct

Max Context:139.3K
Parameters:72.7B

Average performance across 6 common benchmarks

DeepSeek

DeepSeek-R1

+10.4%
Average Score:81.7%
Alibaba

Qwen2.5 72B Instruct

Average Score:71.3%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1

math
+7.8%
97.3%
code
+3.5%
82.1%
general
+1.1%
75.3%
Alibaba

Qwen2.5 72B Instruct

math
89.5%
code
78.6%
general
74.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1

4 providers

Together

Throughput: 4 tok/s
Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s
Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s
Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
Alibaba

Qwen2.5 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
DeepSeek

DeepSeek-R1

+10.4%
Avg Score:81.7%
Providers:4
Alibaba

Qwen2.5 72B Instruct

Avg Score:71.3%
Providers:4