+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek-V3.1 vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 6.4% higher average benchmark score. DeepSeek-V3.1 offers 65.5K more tokens in context window than Kimi K2 Instruct. DeepSeek-V3.1 is $1.60 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
+
+
+
+
DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
+
+
+
+
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.
6 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
Kimi K2 Instruct
Moonshot AI
2025-07-11
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek-V3.1
Input:$0.27
Output:$1.00($1.60 cheaper)
+
+
+
+
Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 11 common benchmarks
+
+
+
+
DeepSeek-V3.1
Average Score:61.4%(+6.4%)
+
+
+
+
Kimi K2 Instruct
Average Score:54.9%
Performance comparison across key benchmark categories
+
+
+
+
DeepSeek-V3.1
Coding66.0%
+
+
+
+
Kimi K2 Instruct
Coding71.6%(+5.6%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek-V3.1
2 providers
DeepInfra
Novita
+
+
+
+
Kimi K2 Instruct
+
+
+
+
DeepSeek-V3.1
Avg Score:61.4%(+6.4%)
Providers:2
+
+
+
+
Kimi K2 Instruct
Avg Score:54.9%
Providers:1