Model Comparison

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

DeepSeek

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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-Coder 32B Instruct

Alibaba

2024-09-19

DeepSeek

DeepSeek-R1-0528

DeepSeek

2025-05-28

8 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-R1-0528

Input:$0.50
Output:$2.15
Alibaba

Qwen2.5-Coder 32B Instruct

$2.47 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-R1-0528

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

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Average performance across 3 common benchmarks

DeepSeek

DeepSeek-R1-0528

+30.8%
Average Score:83.9%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:53.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-R1-0528

code
+15.1%
73.3%
general
+7.7%
69.2%
Alibaba

Qwen2.5-Coder 32B Instruct

code
58.2%
general
61.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s
Latency: 0.61ms

Novita

Throughput: 37.96 tok/s
Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
DeepSeek

DeepSeek-R1-0528

+30.8%
Avg Score:83.9%
Providers:3
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:53.1%
Providers:4