Model Comparison

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

DeepSeek

DeepSeek-V2.5

DeepSeek

DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, 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.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

4 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V2.5

Input:$0.14
Output:$0.28
Alibaba

Qwen2.5-Coder 32B Instruct

$0.24 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Max Context:16.4K
Parameters:236.0B
Alibaba

Qwen2.5-Coder 32B Instruct

Larger context
Max Context:256.0K
Parameters:32.0B

Average performance across 4 common benchmarks

DeepSeek

DeepSeek-V2.5

+5.8%
Average Score:84.8%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:79.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

math
+10.7%
84.9%
general
+6.9%
68.4%
code
+7.9%
66.1%
Alibaba

Qwen2.5-Coder 32B Instruct

math
74.2%
general
61.5%
code
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-V2.5

3 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 63 tok/s
Latency: 0.5ms

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
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-V2.5

+5.8%
Avg Score:84.8%
Providers:3
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:79.0%
Providers:4