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GPT-5 Mini vs Qwen3-Coder-480B
Comprehensive side-by-side LLM comparison
GPT-5 Mini offers 162.4K more tokens in context window than Qwen3-Coder-480B. Qwen3-Coder-480B is $23.50 cheaper per million tokens. GPT-5 Mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
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Alibaba / Qwen
Qwen3-Coder-480B-A35B-Instruct, released by Alibaba's Qwen team on July 22, 2025, is a Mixture-of-Experts large language model with 480 billion total parameters and 35 billion active parameters per inference, specifically designed for agentic coding tasks. It features a 256K token native context window (extendable to 1M tokens with extrapolation) and demonstrated competitive performance on agentic coding, browser automation, and tool-use benchmarks. Qwen3-Coder-480B targets automated software engineering, multi-step code agents, and open-source coding deployments under the Apache 2.0 license.
10 days newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
GPT-5 Mini
OpenAI
2025-08
Pricing Comparison
Cost per million tokens (USD)
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GPT-5 Mini
Input:$5.00
Output:$20.00
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Qwen3-Coder-480B
Input:$0.50
Output:$1.00($23.50 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 Mini
1 providers
OpenAI
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Qwen3-Coder-480B
1 providers
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GPT-5 Mini
Avg Score:0.0%
Providers:1
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Qwen3-Coder-480B
Avg Score:0.0%
Providers:1