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.

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.

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

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 Sonnet 4.5

Max Context:264.0K
OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M

Average performance across 33 common benchmarks

Anthropic

Claude Sonnet 4.5

Average Score:23.6%
OpenAI

GPT-4.1 nano

+2.3%
Average Score:25.9%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
+30.8%
87.0%
agents
+64.5%
82.8%
general
+44.2%
78.0%
vision
+22.4%
77.8%
code
+7.9%
50.0%
OpenAI

GPT-4.1 nano

math
56.2%
agents
18.3%
general
33.7%
vision
55.4%
code
42.1%
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

2024-05-31

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
OpenAI

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
Anthropic

Claude Sonnet 4.5

Avg Score:23.6%
Providers:2
OpenAI

GPT-4.1 nano

+2.3%
Avg Score:25.9%
Providers:1