Model Comparison

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

Anthropic

Claude 3 Opus

Anthropic

Claude 3 Opus is a multimodal language model developed by Anthropic. This model demonstrates exceptional performance with an average score of 81.6% across 11 benchmarks. It excels particularly in ARC-C (96.4%), HellaSwag (95.4%), GSM8k (95.0%). The model shows particular specialization in reasoning tasks with an average performance of 95.9%. It supports a 400K 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 2024, 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 Opus

Anthropic

2024-02-29

OpenAI

GPT-4.1 nano

OpenAI

2025-04-14

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3 Opus

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 3 Opus

Max Context:400.0K
OpenAI

GPT-4.1 nano

Larger context
Max Context:1.1M

Average performance across 2 common benchmarks

Anthropic

Claude 3 Opus

+3.4%
Average Score:68.6%
OpenAI

GPT-4.1 nano

Average Score:65.2%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Opus

code
+10.4%
84.9%
math
+25.7%
81.9%
general
+42.7%
75.1%
OpenAI

GPT-4.1 nano

code
74.5%
math
56.2%
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 Opus

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 3 Opus

+3.4%
Avg Score:68.6%
Providers:3
OpenAI

GPT-4.1 nano

Avg Score:65.2%
Providers:1