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GPT-4o mini vs Kimi K2 Base
Comprehensive side-by-side LLM comparison
Kimi K2 Base leads with 4.6% higher average benchmark score. 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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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
11 months newer
GPT-4o mini
OpenAI
2024-07-18
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4o mini
Average Score:64.1%
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Kimi K2 Base
Average Score:68.7%(+4.6%)
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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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Kimi K2 Base
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GPT-4o mini
Avg Score:64.1%
Providers:1
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Kimi K2 Base
Avg Score:68.7%(+4.6%)
Providers:0