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.

Google

Gemini 2.0 Flash-Lite

Google

Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

Anthropic

Claude Sonnet 4.5

Anthropic

2025-09-29

7 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Sonnet 4.5

Input:$3.00
Output:$15.00
Google

Gemini 2.0 Flash-Lite

$17.63 cheaper
Input:$0.07
Output:$0.30

Performance Metrics

Context window and performance specifications

Anthropic

Claude Sonnet 4.5

Max Context:264.0K
Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M

Average performance across 22 common benchmarks

Anthropic

Claude Sonnet 4.5

+0.6%
Average Score:35.5%
Google

Gemini 2.0 Flash-Lite

Average Score:34.8%

Performance comparison across key benchmark categories

Anthropic

Claude Sonnet 4.5

math
+16.0%
87.0%
general
+17.6%
78.0%
vision
+9.8%
77.8%
code
+21.1%
50.0%
Google

Gemini 2.0 Flash-Lite

math
71.0%
general
60.3%
vision
68.0%
code
28.9%
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

2024-06-01

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
Google

Gemini 2.0 Flash-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Anthropic

Claude Sonnet 4.5

+0.6%
Avg Score:35.5%
Providers:2
Google

Gemini 2.0 Flash-Lite

Avg Score:34.8%
Providers:1