Model Comparison

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

GPT-4.1 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI'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.

GPT-4.1 nano

OpenAI

2025-04-14

Qwen3-Next-80B-A3B-Base

Alibaba Cloud / Qwen Team

2025-09-10

4 months newer

Performance Metrics

Context window and performance specifications

GPT-4.1 nano

Larger context

Max Context:1.1M

Qwen3-Next-80B-A3B-Base

Max Context:-

Parameters:80.0B

Average performance across 25 common benchmarks

GPT-4.1 nano

+34.2%

Average Score:34.2%

Qwen3-Next-80B-A3B-Base

Average Score:0.0%

Knowledge Cutoff

Training data recency comparison

GPT-4.1 nano

2024-05-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s

Latency: 2ms

Qwen3-Next-80B-A3B-Base

0 providers

GPT-4.1 nano

+34.2%

Avg Score:34.2%

Providers:1

Qwen3-Next-80B-A3B-Base

Avg Score:0.0%

Providers:0