Model Comparison

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

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

Qwen3-Next-80B-A3B-Base is a language model developed by Alibaba Cloud / Qwen Team. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

19 days newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3.2-Exp

Larger context

Max Context:229.4K

Parameters:685.0B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 14 common benchmarks

DeepSeek-V3.2-Exp

+66.1%

Average Score:66.1%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

Qwen3-Next-80B-A3B-Base

0 providers

DeepSeek-V3.2-Exp

+66.1%

Avg Score:66.1%

Providers:2

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0