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

Qwen3 32B

Alibaba

Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek

DeepSeek-V2.5

DeepSeek

2024-05-08

Alibaba

Qwen3 32B

Alibaba

2025-04-29

11 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V2.5

Input:$0.14
Output:$0.28
Alibaba

Qwen3 32B

$0.02 cheaper
Input:$0.10
Output:$0.30

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Max Context:16.4K
Parameters:236.0B
Alibaba

Qwen3 32B

Larger context
Max Context:256.0K
Parameters:32.8B

Average performance across 2 common benchmarks

DeepSeek

DeepSeek-V2.5

+2.2%
Average Score:74.2%
Alibaba

Qwen3 32B

Average Score:72.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

roleplay
+15.3%
90.2%
code
66.1%
general
68.4%
Alibaba

Qwen3 32B

roleplay
74.9%
code
+14.4%
80.4%
general
+5.2%
73.6%
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

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms
DeepSeek

DeepSeek-V2.5

+2.2%
Avg Score:74.2%
Providers:3
Alibaba

Qwen3 32B

Avg Score:72.0%
Providers:3