Model Comparison

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

Anthropic

Claude Opus 4

Anthropic

Claude Opus 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 64.6% across 9 benchmarks. It excels particularly in MMMLU (88.8%), TAU-bench Retail (81.4%), GPQA (79.6%). It supports a 328K token context window for handling large documents. The model is available through 3 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 Opus 4

Anthropic

2025-05-22

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Opus 4

Input:$15.00
Output:$75.00
OpenAI

GPT-4.1 nano

$89.50 cheaper
Input:$0.10
Output:$0.40

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4

Max Context:328.0K
OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M

Average performance across 4 common benchmarks

Anthropic

Claude Opus 4

+38.9%
Average Score:77.4%
OpenAI

GPT-4.1 nano

Average Score:38.5%

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4

vision
+21.1%
76.5%
general
+38.7%
71.1%
agents
+52.2%
70.5%
OpenAI

GPT-4.1 nano

vision
55.4%
general
32.4%
agents
18.3%
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 Opus 4

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 120 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 tok/s
Latency: 0.5ms
OpenAI

GPT-4.1 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
Anthropic

Claude Opus 4

+38.9%
Avg Score:77.4%
Providers:3
OpenAI

GPT-4.1 nano

Avg Score:38.5%
Providers:1