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.

DeepSeek

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 62.2% across 22 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). The model shows particular specialization in factuality tasks with an average performance of 92.9%. It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek

DeepSeek-R1-0528

DeepSeek

2025-05-28

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

Input:$3.00
Output:$15.00
DeepSeek

DeepSeek-R1-0528

$15.35 cheaper
Input:$0.50
Output:$2.15

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Larger context
Max Context:264.0K
DeepSeek

DeepSeek-R1-0528

Max Context:262.1K
Parameters:671.0B

Average performance across 27 common benchmarks

Anthropic

Claude Sonnet 4.5

Average Score:28.9%
DeepSeek

DeepSeek-R1-0528

+20.6%
Average Score:49.5%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
+2.4%
87.0%
agents
+42.3%
82.8%
general
+19.2%
78.0%
code
50.0%
DeepSeek

DeepSeek-R1-0528

math
84.6%
agents
40.5%
general
58.8%
code
+3.7%
53.7%
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 Sonnet 4.5

2 providers

Anthropic

Throughput: 42 tok/s
Latency: 0.4ms

ZeroEval

Throughput: 42 tok/s
Latency: 0.4ms
DeepSeek

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s
Latency: 0.61ms

Novita

Throughput: 37.96 tok/s
Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms
Anthropic

Claude Sonnet 4.5

Avg Score:28.9%
Providers:2
DeepSeek

DeepSeek-R1-0528

+20.6%
Avg Score:49.5%
Providers:3