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%). The model shows particular specialization in general tasks with an average performance of 80.3%. It supports a 328K token context window for handling large documents. The model is available through 4 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.

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.

Anthropic

Claude Opus 4

Anthropic

2025-05-22

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Opus 4

Input:$15.00
Output:$75.00
Anthropic

Claude Sonnet 4.5

$72.00 cheaper
Input:$3.00
Output:$15.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4

Larger context
Max Context:328.0K
Anthropic

Claude Sonnet 4.5

Max Context:264.0K

Average performance across 14 common benchmarks

Anthropic

Claude Opus 4

Average Score:41.6%
Anthropic

Claude Sonnet 4.5

+14.2%
Average Score:55.7%

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4

math
75.5%
agents
70.5%
general
+2.3%
80.3%
vision
76.5%
code
39.2%
Anthropic

Claude Sonnet 4.5

math
+11.5%
87.0%
agents
+12.3%
82.8%
general
78.0%
vision
+1.3%
77.8%
code
+10.8%
50.0%
Knowledge Cutoff
Training data recency comparison

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 Opus 4

4 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

ZeroEval

Throughput: 42 tok/s
Latency: 0.4ms
Anthropic

Claude Sonnet 4.5

2 providers

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms

ZeroEval

Throughput: 42 tok/s
Latency: 0.4ms
Anthropic

Claude Opus 4

Avg Score:41.6%
Providers:4
Anthropic

Claude Sonnet 4.5

+14.2%
Avg Score:55.7%
Providers:2