Model Comparison
GPT-4o vs Qwen3-Next-80B-A3B-Base
Comparing GPT-4o and Qwen3-Next-80B-A3B-Base across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4o and Qwen3-Next-80B-A3B-Base don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).
Input Capabilities
Supported data types and modalities
GPT-4o supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Base does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Qwen3-Next-80B-A3B-Base
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Qwen3-Next-80B-A3B-Base uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-05-13, while Qwen3-Next-80B-A3B-Base was released on 2025-09-10.
Qwen3-Next-80B-A3B-Base is 16 months newer than GPT-4o.
May 13, 2024
2.0 years ago
Sep 10, 2025
7 months ago
1.3yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
GPT-4o
View detailsOpenAI
Qwen3-Next-80B-A3B-Base
View detailsAlibaba Cloud / Qwen Team
GPT-4o
Qwen3-Next-80B-A3B-BaseDetailed Comparison
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FAQ
Common questions about GPT-4o vs Qwen3-Next-80B-A3B-Base