Model Comparison

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

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%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Microsoft

Phi 4

Microsoft

Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model shows particular specialization in math tasks with an average performance of 80.5%. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi 4

Microsoft

2024-12-12

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

20 days newer

Pricing Comparison

Cost per million tokens (USD)

Moonshot AI

Kimi K2 Instruct

Input:$0.57
Output:$2.29
Microsoft

Phi 4

$2.65 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2 Instruct

Larger context
Max Context:144.0K
Parameters:1.0T
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 7 common benchmarks

Moonshot AI

Kimi K2 Instruct

+18.4%
Average Score:76.6%
Microsoft

Phi 4

Average Score:58.2%

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2 Instruct

math
+6.1%
86.6%
code
+3.3%
79.5%
roleplay
+28.8%
76.4%
general
+1.8%
62.0%
Microsoft

Phi 4

math
80.5%
code
76.1%
roleplay
47.6%
general
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Moonshot AI

Kimi K2 Instruct

1 providers

Novita

Throughput: 45 tok/s
Latency: 0.95ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Moonshot AI

Kimi K2 Instruct

+18.4%
Avg Score:76.6%
Providers:1
Microsoft

Phi 4

Avg Score:58.2%
Providers:1