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o1 mini vs Qwen3-Coder-480B
Comprehensive side-by-side LLM comparison
Qwen3-Coder-480B offers 76.8K more tokens in context window than o1 mini. Qwen3-Coder-480B is $4.00 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
OpenAI o1 mini, released by OpenAI in September 2024, is a lightweight reasoning model from the o1 family optimized for efficient STEM problem-solving at lower cost and latency. It features a 128K token context window and applies chain-of-thought reasoning specifically tuned for mathematics, science, and coding tasks. o1 mini targets use cases where rapid, cost-efficient reasoning is preferred over the broader capabilities of the full o1 model.
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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 months newer
o1 mini
OpenAI
2024-09-12
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Pricing Comparison
Cost per million tokens (USD)
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o1 mini
Input:$1.10
Output:$4.40
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Qwen3-Coder-480B
Input:$0.50
Output:$1.00($4.00 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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o1 mini
1 providers
OpenAI
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Qwen3-Coder-480B
1 providers
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o1 mini
Avg Score:0.0%
Providers:1
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Qwen3-Coder-480B
Avg Score:0.0%
Providers:1