Model Comparison

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

DeepSeek

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.

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 Distill Qwen 32B

DeepSeek

2025-01-20

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Qwen 32B

Input:$0.12
Output:$0.18
Alibaba

Qwen2.5-Coder 32B Instruct

$0.12 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Qwen 32B

Max Context:256.0K
Parameters:32.8B
Alibaba

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 32B

+25.8%
Average Score:57.2%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:31.4%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 32B

math
+20.1%
94.3%
general
+11.2%
72.7%
code
57.2%
Alibaba

Qwen2.5-Coder 32B Instruct

math
74.2%
general
61.5%
code
+1.0%
58.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Qwen 32B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
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 Distill Qwen 32B

+25.8%
Avg Score:57.2%
Providers:1
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:31.4%
Providers:4