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GPT-5 mini vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 27.4% higher average benchmark score. GPT-5 mini offers 265.9K more tokens in context window than Kimi K2 Instruct. GPT-5 mini is $0.62 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
27 days newer
Kimi K2 Instruct
Moonshot AI
2025-07-11
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00($0.62 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-5 mini
Average Score:69.5%(+27.4%)
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Kimi K2 Instruct
Average Score:42.0%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:69.5%(+27.4%)
Providers:2
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Kimi K2 Instruct
Avg Score:42.0%
Providers:1