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-multimodal-instruct

Microsoft

Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). The model shows particular specialization in general tasks with an average performance of 75.8%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

Moonshot AI

Kimi K2 Instruct

Moonshot AI

2025-01-01

Microsoft

Phi-4-multimodal-instruct

Microsoft

2025-02-01

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Moonshot AI

Kimi K2 Instruct

Input:$0.57
Output:$2.29
Microsoft

Phi-4-multimodal-instruct

$2.71 cheaper
Input:$0.05
Output:$0.10

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2 Instruct

Max Context:144.0K
Parameters:1.0T
Microsoft

Phi-4-multimodal-instruct

Larger context
Max Context:256.0K
Parameters:5.6B

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2 Instruct

math
+24.2%
86.6%
general
62.0%
Microsoft

Phi-4-multimodal-instruct

math
62.4%
general
+13.8%
75.8%
Knowledge Cutoff
Training data recency comparison

Phi-4-multimodal-instruct

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-multimodal-instruct

1 providers

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms
Moonshot AI

Kimi K2 Instruct

Avg Score:0.0%
Providers:1
Microsoft

Phi-4-multimodal-instruct

Avg Score:0.0%
Providers:1