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Model Comparison

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

DeepSeek

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. 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 Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Alibaba Cloud / Qwen Team

2024-09-19

DeepSeek

DeepSeek-V3.1

DeepSeek

2025-01-10

3 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.1

Input:$0.27
Output:$1.00
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

$1.09 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Larger context
Max Context:327.7K
Parameters:671.0B
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Average performance across 3 common benchmarks

DeepSeek

DeepSeek-V3.1

+24.2%
Average Score:77.3%
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Average Score:53.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

factuality
+26.8%
92.6%
reasoning
74.9%
math
41.6%
code
56.5%
general
+1.1%
57.3%
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

factuality
65.9%
reasoning
+3.2%
78.1%
math
+32.5%
74.2%
code
+1.7%
58.2%
general
56.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.1

2 providers

DeepInfra

Novita

Alibaba Cloud / Qwen Team

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-V3.1

+24.2%
Avg Score:77.3%
Providers:2
Alibaba Cloud / Qwen Team

Qwen2.5-Coder 32B Instruct

Avg Score:53.1%
Providers:4