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 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). 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 nano

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 nano

$17.50 cheaper
Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.7 Sonnet

Max Context:328.0K
OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M

Average performance across 7 common benchmarks

Anthropic

Claude 3.7 Sonnet

+35.1%
Average Score:79.8%
OpenAI

GPT-4.1 nano

Average Score:44.7%

Performance comparison across key benchmark categories

Anthropic

Claude 3.7 Sonnet

math
+40.0%
96.2%
code
+18.7%
93.2%
vision
+19.6%
75.0%
agents
+51.5%
69.8%
general
+36.1%
68.5%
OpenAI

GPT-4.1 nano

math
56.2%
code
74.5%
vision
55.4%
agents
18.3%
general
32.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

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 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
Anthropic

Claude 3.7 Sonnet

+35.1%
Avg Score:79.8%
Providers:4
OpenAI

GPT-4.1 nano

Avg Score:44.7%
Providers:1