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

OpenAI

GPT-4.1 is a multimodal language model developed by OpenAI. The model shows competitive results across 30 benchmarks. It excels particularly in MMLU (90.2%), CharXiv-D (87.9%), IFEval (87.4%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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

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

$8.00 cheaper
Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.7 Sonnet

Max Context:328.0K
OpenAI

GPT-4.1

Larger context
Max Context:1.1M

Average performance across 9 common benchmarks

Anthropic

Claude 3.7 Sonnet

+11.3%
Average Score:76.0%
OpenAI

GPT-4.1

Average Score:64.7%

Performance comparison across key benchmark categories

Anthropic

Claude 3.7 Sonnet

math
+24.0%
96.2%
code
+5.8%
93.2%
vision
+1.6%
75.0%
agents
+11.1%
69.8%
general
+15.1%
68.5%
OpenAI

GPT-4.1

math
72.2%
code
87.4%
vision
73.4%
agents
58.7%
general
53.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1

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
OpenAI

GPT-4.1

1 providers

OpenAI

Throughput: 100 tok/s
Latency: 10ms
Anthropic

Claude 3.7 Sonnet

+11.3%
Avg Score:76.0%
Providers:4
OpenAI

GPT-4.1

Avg Score:64.7%
Providers:1