Model Comparison

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

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.

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.

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

DeepSeek-R1

DeepSeek

2025-01-20

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-R1

Input:$0.55

Output:$2.19

Qwen2.5-Coder 32B Instruct

$2.56 cheaper

Input:$0.09

Output:$0.09

Performance Metrics

Context window and performance specifications

DeepSeek-R1

Larger context

Max Context:262.1K

Parameters:671.0B

Qwen2.5-Coder 32B Instruct

Max Context:256.0K

Parameters:32.0B

Average performance across 4 common benchmarks

DeepSeek-R1

+24.8%

Average Score:83.4%

Qwen2.5-Coder 32B Instruct

Average Score:58.6%

Performance comparison across key benchmark categories

DeepSeek-R1

math

+23.1%

97.3%

code

+24.0%

82.1%

reasoning

1.3%

general

+13.8%

75.3%

Qwen2.5-Coder 32B Instruct

math

74.2%

code

58.2%

reasoning

+76.8%

78.1%

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-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

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-R1

+24.8%

Avg Score:83.4%

Providers:4

Qwen2.5-Coder 32B Instruct

Avg Score:58.6%

Providers:4