Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 37.0% higher average benchmark score. GPT-4o mini offers 13.3K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. GPT-4o mini is $0.90 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen3-Next 80B Thinking was created as a reasoning-enhanced variant, designed to incorporate extended analytical capabilities into the Qwen3-Next architecture. Built to handle complex problem-solving with mixture-of-experts efficiency, it serves applications requiring both deep reasoning and computational practicality.
1 year newer

GPT-4o mini
OpenAI
2024-07-18

Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)

GPT-4o mini

Qwen3-Next-80B-A3B-Thinking
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-4o mini

Qwen3-Next-80B-A3B-Thinking
GPT-4o mini
2023-10-01
Available providers and their performance metrics

GPT-4o mini
Azure

Qwen3-Next-80B-A3B-Thinking

GPT-4o mini

Qwen3-Next-80B-A3B-Thinking

GPT-4o mini

Qwen3-Next-80B-A3B-Thinking
Novita