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o4 mini vs Qwen3-Coder-480B
Comprehensive side-by-side LLM comparison
o4 mini offers 29.7K more tokens in context window than Qwen3-Coder-480B. Qwen3-Coder-480B is $4.00 cheaper per million tokens. o4 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
OpenAI o4 mini, released by OpenAI in April 2025, is a compact reasoning model from the o4 family that combines multimodal understanding with efficient chain-of-thought processing. It features a 200K token context window and native image understanding, with strong performance on mathematics and coding benchmarks relative to its inference cost. o4 mini targets cost-sensitive applications requiring both visual reasoning and mathematical accuracy.
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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.
3 months newer
o4 mini
OpenAI
2025-04-16
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
Pricing Comparison
Cost per million tokens (USD)
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o4 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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o4 mini
1 providers
OpenAI
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Qwen3-Coder-480B
1 providers
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o4 mini
Avg Score:0.0%
Providers:1
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Qwen3-Coder-480B
Avg Score:0.0%
Providers:1