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Model Comparison

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

Moonshot AI

Kimi K2 0905

Moonshot AI

Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K 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.

Microsoft

Phi-4-multimodal-instruct

Microsoft

2025-02-01

Moonshot AI

Kimi K2 0905

Moonshot AI

2025-09-05

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Moonshot AI

Kimi K2 0905

Input:$0.60
Output:$2.50
Microsoft

Phi-4-multimodal-instruct

$2.95 cheaper
Input:$0.05
Output:$0.10

Performance Metrics

Context window and performance specifications

Moonshot AI

Kimi K2 0905

Larger context
Max Context:524.3K
Parameters:1.0T
Microsoft

Phi-4-multimodal-instruct

Max Context:256.0K
Parameters:5.6B

Performance comparison across key benchmark categories

Moonshot AI

Kimi K2 0905

math
+26.7%
89.1%
general
+4.4%
80.1%
Microsoft

Phi-4-multimodal-instruct

math
62.4%
general
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 0905

1 providers

Novita

Microsoft

Phi-4-multimodal-instruct

1 providers

DeepInfra

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

Kimi K2 0905

Avg Score:0.0%
Providers:1
Microsoft

Phi-4-multimodal-instruct

Avg Score:0.0%
Providers:1