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GPT-4.1 mini vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 14.3% higher average benchmark score. GPT-4.1 mini offers 818.2K more tokens in context window than Kimi K2 Instruct. GPT-4.1 mini is $0.87 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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.
2 months newer
GPT-4.1 mini
OpenAI
2025-04-14
Kimi K2 Instruct
Moonshot AI
2025-07-11
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60($0.87 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 10 common benchmarks
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GPT-4.1 mini
Average Score:45.9%
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Kimi K2 Instruct
Average Score:60.3%(+14.3%)
Performance comparison across key benchmark categories
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GPT-4.1 mini
Coding23.6%
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Kimi K2 Instruct
Coding71.6%(+48.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:45.9%
Providers:2
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Kimi K2 Instruct
Avg Score:60.3%(+14.3%)
Providers:1