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-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 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.

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

0 days newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

Input:$3.00
Output:$15.00
DeepSeek

DeepSeek-V3.2-Exp

$17.32 cheaper
Input:$0.27
Output:$0.41

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Larger context
Max Context:264.0K
DeepSeek

DeepSeek-V3.2-Exp

Max Context:229.4K
Parameters:685.0B

Average performance across 19 common benchmarks

Anthropic

Claude Sonnet 4.5

Average Score:41.1%
DeepSeek

DeepSeek-V3.2-Exp

+4.6%
Average Score:45.7%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
+0.5%
87.0%
agents
+38.8%
82.8%
general
+15.9%
78.0%
code
50.0%
DeepSeek

DeepSeek-V3.2-Exp

math
86.5%
agents
44.0%
general
62.1%
code
+14.3%
64.3%
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-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Anthropic

Claude Sonnet 4.5

Avg Score:41.1%
Providers:2
DeepSeek

DeepSeek-V3.2-Exp

+4.6%
Avg Score:45.7%
Providers:2