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GPT-4o mini vs Qwen3-Next-80B-A3B-Base
Comprehensive side-by-side LLM comparison
GPT-4o mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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Alibaba Cloud / Qwen Team
Qwen3-Next 80B Base was introduced as an experimental base model with 80 billion total parameters and 3 billion active parameters. Built to explore advanced mixture-of-experts architectures, it provides a foundation for fine-tuning and research into efficient large-scale model design.
1 year newer
GPT-4o mini
OpenAI
2024-07-18
Qwen3-Next-80B-A3B-Base
Alibaba Cloud / Qwen Team
2025-09-10
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Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Qwen3-Next-80B-A3B-Base
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GPT-4o mini
Avg Score:0.0%
Providers:1
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Qwen3-Next-80B-A3B-Base
Avg Score:0.0%
Providers:0