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.

Meta

Llama 3.2 90B Instruct

Meta

Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.

Meta

Llama 3.2 90B Instruct

Meta

2024-09-25

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

Input:$3.00
Output:$15.00
Meta

Llama 3.2 90B Instruct

$17.25 cheaper
Input:$0.35
Output:$0.40

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Larger context
Max Context:264.0K
Meta

Llama 3.2 90B Instruct

Max Context:256.0K
Parameters:90.0B

Average performance across 22 common benchmarks

Anthropic

Claude Sonnet 4.5

Average Score:35.5%
Meta

Llama 3.2 90B Instruct

+6.7%
Average Score:42.1%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
+16.3%
87.0%
general
+4.5%
78.0%
vision
+8.4%
77.8%
Meta

Llama 3.2 90B Instruct

math
70.7%
general
73.5%
vision
69.4%
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
Meta

Llama 3.2 90B Instruct

5 providers

Together

Throughput: 57 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 42 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 24 tok/s
Latency: 0.5ms

Fireworks

Throughput: 50 tok/s
Latency: 0.5ms

Bedrock

Throughput: 100 tok/s
Latency: 0.5ms
Anthropic

Claude Sonnet 4.5

Avg Score:35.5%
Providers:2
Meta

Llama 3.2 90B Instruct

+6.7%
Avg Score:42.1%
Providers:5