Model Comparison

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

Anthropic

Claude 3.7 Sonnet

Anthropic

Claude 3.7 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 74.1% across 11 benchmarks. It excels particularly in MATH-500 (96.2%), IFEval (93.2%), MMMLU (86.1%). It supports a 328K token context window for handling large documents. The model is available through 4 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

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

Anthropic

Claude 3.7 Sonnet

Anthropic

2025-02-24

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.7 Sonnet

Input:$3.00
Output:$15.00
Microsoft

Phi 4

$17.79 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.7 Sonnet

Larger context
Max Context:328.0K
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 2 common benchmarks

Anthropic

Claude 3.7 Sonnet

+29.4%
Average Score:89.0%
Microsoft

Phi 4

Average Score:59.6%

Performance comparison across key benchmark categories

Anthropic

Claude 3.7 Sonnet

math
+15.7%
96.2%
code
+17.1%
93.2%
general
+8.3%
68.5%
Microsoft

Phi 4

math
80.5%
code
76.1%
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

Anthropic

Claude 3.7 Sonnet

4 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 101 tok/s
Latency: 0.5ms

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms

ZeroEval

Throughput: 42 tok/s
Latency: 0.4ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Anthropic

Claude 3.7 Sonnet

+29.4%
Avg Score:89.0%
Providers:4
Microsoft

Phi 4

Avg Score:59.6%
Providers:1