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

Qwen3-235B-A22B-Instruct-2507

Alibaba

Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). 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

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V2.5

Larger context
Max Context:16.4K
Parameters:236.0B
Alibaba

Qwen3-235B-A22B-Instruct-2507

Max Context:-
Parameters:235.0B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V2.5

roleplay
+14.8%
90.2%
math
+34.7%
84.9%
general
68.4%
code
66.1%
Alibaba

Qwen3-235B-A22B-Instruct-2507

roleplay
75.4%
math
50.2%
general
+5.3%
73.7%
code
+4.2%
70.3%

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

Qwen3-235B-A22B-Instruct-2507

0 providers
DeepSeek

DeepSeek-V2.5

Avg Score:0.0%
Providers:3
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0