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

DeepSeek

DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). The model shows particular specialization in math tasks with an average performance of 88.1%. It supports a 262K token context window for handling large documents. The model is available through 5 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

DeepSeek

2025-01-20

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

Input:$3.00
Output:$15.00
DeepSeek

DeepSeek-R1

$15.26 cheaper
Input:$0.55
Output:$2.19

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Larger context
Max Context:264.0K
DeepSeek

DeepSeek-R1

Max Context:262.1K
Parameters:671.0B

Average performance across 28 common benchmarks

Anthropic

Claude Sonnet 4.5

Average Score:27.9%
DeepSeek

DeepSeek-R1

+25.0%
Average Score:52.9%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
87.0%
general
78.0%
code
50.0%
DeepSeek

DeepSeek-R1

math
+1.1%
88.1%
general
+1.9%
79.9%
code
+26.4%
76.4%
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

5 providers

Together

Throughput: 4 tok/s
Latency: 0.6ms

DeepInfra

Throughput: 0.9 tok/s
Latency: 0.3ms

Fireworks

Throughput: 2.1 tok/s
Latency: 0.3ms

DeepSeek

Throughput: 9 tok/s
Latency: 0.3ms

ZeroEval

Throughput: 189 tok/s
Latency: 0.067ms
Anthropic

Claude Sonnet 4.5

Avg Score:27.9%
Providers:2
DeepSeek

DeepSeek-R1

+25.0%
Avg Score:52.9%
Providers:5