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.

OpenAI

GPT-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. 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 OpenAI's latest advancement in AI technology.

Anthropic

Claude 3.7 Sonnet

Anthropic

2025-02-24

OpenAI

GPT-4.1 mini

OpenAI

2025-04-14

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.7 Sonnet

Input:$3.00
Output:$15.00
OpenAI

GPT-4.1 mini

$16.00 cheaper
Input:$0.40
Output:$1.60

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.7 Sonnet

Max Context:328.0K
OpenAI

GPT-4.1 mini

Larger context
Max Context:1.1M

Average performance across 9 common benchmarks

Anthropic

Claude 3.7 Sonnet

+19.8%
Average Score:76.0%
OpenAI

GPT-4.1 mini

Average Score:56.2%

Performance comparison across key benchmark categories

Anthropic

Claude 3.7 Sonnet

math
+23.1%
96.2%
code
+9.1%
93.2%
vision
+2.3%
75.0%
agents
+23.9%
69.8%
general
+22.6%
68.5%
OpenAI

GPT-4.1 mini

math
73.1%
code
84.1%
vision
72.7%
agents
45.9%
general
45.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 mini

2024-05-31

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
OpenAI

GPT-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
Anthropic

Claude 3.7 Sonnet

+19.8%
Avg Score:76.0%
Providers:4
OpenAI

GPT-4.1 mini

Avg Score:56.2%
Providers:2