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 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, it represents Google's latest advancement in AI technology.

Google

Gemini 1.5 Pro

Google

2024-05-01

Anthropic

Claude 3.7 Sonnet

Anthropic

2025-02-24

9 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.7 Sonnet

Input:$3.00
Output:$15.00
Google

Gemini 1.5 Pro

$5.50 cheaper
Input:$2.50
Output:$10.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.7 Sonnet

Max Context:328.0K
Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M

Average performance across 2 common benchmarks

Anthropic

Claude 3.7 Sonnet

+17.4%
Average Score:79.9%
Google

Gemini 1.5 Pro

Average Score:62.5%

Performance comparison across key benchmark categories

Anthropic

Claude 3.7 Sonnet

math
+21.3%
96.2%
code
+18.7%
93.2%
vision
+2.8%
75.0%
general
68.5%
Google

Gemini 1.5 Pro

math
74.9%
code
74.5%
vision
72.3%
general
+0.4%
68.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

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 1.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Anthropic

Claude 3.7 Sonnet

+17.4%
Avg Score:79.9%
Providers:4
Google

Gemini 1.5 Pro

Avg Score:62.5%
Providers:1