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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek

DeepSeek-V3.1

DeepSeek

DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. It supports a 328K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). The model shows particular specialization in reasoning tasks with an average performance of 78.6%. It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

DeepSeek

DeepSeek-V3.1

DeepSeek

2025-01-10

9 days newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek-V3.1

$1.60 cheaper
Input:$0.27
Output:$1.00
Moonshot AI

Kimi K2 Instruct

Input:$0.57
Output:$2.30

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.1

Larger context
Max Context:327.7K
Parameters:671.0B
Moonshot AI

Kimi K2 Instruct

Max Context:262.1K
Parameters:1.0T

Average performance across 10 common benchmarks

DeepSeek

DeepSeek-V3.1

+8.4%
Average Score:58.9%
Moonshot AI

Kimi K2 Instruct

Average Score:50.5%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.1

factuality
+30.8%
92.6%
reasoning
74.9%
math
41.6%
code
56.5%
general
57.3%
Moonshot AI

Kimi K2 Instruct

factuality
61.9%
reasoning
+3.7%
78.6%
math
+28.7%
70.4%
code
+8.6%
65.1%
general
+7.7%
65.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.1

2 providers

DeepInfra

Novita

Moonshot AI

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
DeepSeek

DeepSeek-V3.1

+8.4%
Avg Score:58.9%
Providers:2
Moonshot AI

Kimi K2 Instruct

Avg Score:50.5%
Providers:1