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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 72B Instruct

Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K 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 72B 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 72B Instruct

$0.52 cheaper
Input:$0.35
Output:$0.40

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 72B Instruct

Max Context:139.3K
Parameters:72.7B

Average performance across 3 common benchmarks

DeepSeek

DeepSeek-V3.1

+6.2%
Average Score:77.3%
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

Average Score:71.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

factuality
+5.8%
92.6%
math
41.6%
code
56.5%
general
57.3%
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

factuality
86.8%
math
+47.8%
89.5%
code
+21.5%
77.9%
general
+9.8%
67.0%
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 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
DeepSeek

DeepSeek-V3.1

+6.2%
Avg Score:77.3%
Providers:2
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

Avg Score:71.1%
Providers:4