Model Comparison

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

Anthropic

Claude Sonnet 4

Anthropic

Claude Sonnet 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 69.4% across 8 benchmarks. It excels particularly in MMMLU (86.5%), TAU-bench Retail (80.5%), GPQA (75.4%). 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-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 Sonnet 4

Anthropic

2025-05-22

OpenAI

GPT-5 nano

OpenAI

2025-08-07

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4

Input:$3.00
Output:$15.00
OpenAI

GPT-5 nano

$17.55 cheaper
Input:$0.05
Output:$0.40

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4

Max Context:328.0K
OpenAI

GPT-5 nano

Larger context
Max Context:528.0K

Average performance across 2 common benchmarks

Anthropic

Claude Sonnet 4

Average Score:73.0%
OpenAI

GPT-5 nano

+5.3%
Average Score:78.2%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4

general
+7.9%
68.1%
OpenAI

GPT-5 nano

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 Sonnet 4

3 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
OpenAI

GPT-5 nano

2 providers

ZeroEval

Throughput: 500 tok/s
Latency: 0.3ms

OpenAI

Throughput: 500 tok/s
Latency: 0.3ms
Anthropic

Claude Sonnet 4

Avg Score:73.0%
Providers:3
OpenAI

GPT-5 nano

+5.3%
Avg Score:78.2%
Providers:2