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-5 nano

OpenAI

GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). It supports a 528K 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 OpenAI's latest advancement in AI technology.

Anthropic

Claude 3 Opus

Anthropic

2024-02-29

OpenAI

GPT-5 nano

OpenAI

2025-08-07

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3 Opus

Input:$15.00
Output:$75.00
OpenAI

GPT-5 nano

$89.55 cheaper
Input:$0.05
Output:$0.40

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3 Opus

Max Context:400.0K
OpenAI

GPT-5 nano

Larger context
Max Context:528.0K

Average performance across 1 common benchmarks

Anthropic

Claude 3 Opus

Average Score:50.4%
OpenAI

GPT-5 nano

+20.8%
Average Score:71.2%

Performance comparison across key benchmark categories

Anthropic

Claude 3 Opus

math
+72.3%
81.9%
general
+14.9%
75.1%
OpenAI

GPT-5 nano

math
9.6%
general
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-5 nano

2024-05-30

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-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
Anthropic

Claude 3 Opus

Avg Score:50.4%
Providers:3
OpenAI

GPT-5 nano

+20.8%
Avg Score:71.2%
Providers:2