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

o4-mini

OpenAI

o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). The model shows particular specialization in math tasks with an average performance of 88.5%. It supports a 300K token context window for handling large documents. 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

o4-mini

OpenAI

2025-04-16

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

o4-mini

$12.50 cheaper
Input:$1.10
Output:$4.40

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Max Context:264.0K
OpenAI

o4-mini

Larger context
Max Context:300.0K

Average performance across 21 common benchmarks

Anthropic

Claude Sonnet 4.5

Average Score:37.1%
OpenAI

o4-mini

+7.2%
Average Score:44.3%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
87.0%
agents
+25.3%
82.8%
vision
77.8%
general
+16.4%
78.0%
code
50.0%
OpenAI

o4-mini

math
+1.5%
88.5%
agents
57.5%
vision
+3.8%
81.6%
general
61.5%
code
+18.9%
68.9%
Knowledge Cutoff
Training data recency comparison

o4-mini

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

o4-mini

1 providers

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Anthropic

Claude Sonnet 4.5

Avg Score:37.1%
Providers:2
OpenAI

o4-mini

+7.2%
Avg Score:44.3%
Providers:1