Model Comparison

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

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 17 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.

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.

DeepSeek-V3.1

DeepSeek

2025-01-10

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

8 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3.1

Larger context

Max Context:327.7K

Parameters:671.0B

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 17 common benchmarks

DeepSeek-V3.1

+59.4%

Average Score:59.4%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3.1

2 providers

DeepInfra

Novita

Qwen3-Next-80B-A3B-Base

0 providers

DeepSeek-V3.1

+59.4%

Avg Score:59.4%

Providers:2

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0