Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Anthropic

Claude 3.7 Sonnet

Anthropic

Claude 3.7 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 74.1% across 11 benchmarks. It excels particularly in MATH-500 (96.2%), IFEval (93.2%), MMMLU (86.1%). It supports a 328K token context window for handling large documents. The model is available through 4 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 3.7 Sonnet

Anthropic

2025-02-24

19 days newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.7 Sonnet

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 3.7 Sonnet

Max Context:328.0K
Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M

Average performance across 2 common benchmarks

Anthropic

Claude 3.7 Sonnet

+20.1%
Average Score:79.9%
Google

Gemini 2.0 Flash-Lite

Average Score:59.8%

Performance comparison across key benchmark categories

Anthropic

Claude 3.7 Sonnet

math
+25.2%
96.2%
code
+64.3%
93.2%
vision
+7.0%
75.0%
general
+13.0%
68.5%
Google

Gemini 2.0 Flash-Lite

math
71.0%
code
28.9%
vision
68.0%
general
55.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.0 Flash-Lite

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3.7 Sonnet

4 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 101 tok/s
Latency: 0.5ms

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 3.7 Sonnet

+20.1%
Avg Score:79.9%
Providers:4
Google

Gemini 2.0 Flash-Lite

Avg Score:59.8%
Providers:1