Model Comparison

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

Anthropic

Claude Sonnet 4.5

Anthropic

Claude Sonnet 4.5 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 78.0% across 10 benchmarks. It excels particularly in Tau2 Telecom (98.0%), MMMLU (89.1%), AIME 2025 (87.0%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic'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

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

Input:$3.00
Output:$15.00
Microsoft

Phi-4-multimodal-instruct

$17.85 cheaper
Input:$0.05
Output:$0.10

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Larger context
Max Context:264.0K
Microsoft

Phi-4-multimodal-instruct

Max Context:256.0K
Parameters:5.6B

Average performance across 25 common benchmarks

Anthropic

Claude Sonnet 4.5

Average Score:31.2%
Microsoft

Phi-4-multimodal-instruct

+12.0%
Average Score:43.2%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
+24.6%
87.0%
general
+2.2%
78.0%
vision
+8.1%
77.8%
Microsoft

Phi-4-multimodal-instruct

math
62.4%
general
75.8%
vision
69.7%
Knowledge Cutoff
Training data recency comparison

Phi-4-multimodal-instruct

2024-06-01

Claude Sonnet 4.5

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude Sonnet 4.5

2 providers

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms

ZeroEval

Throughput: 42 tok/s
Latency: 0.4ms
Microsoft

Phi-4-multimodal-instruct

1 providers

DeepInfra

Throughput: 25 tok/s
Latency: 0.5ms
Anthropic

Claude Sonnet 4.5

Avg Score:31.2%
Providers:2
Microsoft

Phi-4-multimodal-instruct

+12.0%
Avg Score:43.2%
Providers:1