Model Comparison

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

Anthropic

Claude 3.5 Sonnet

Anthropic

Claude 3.5 Sonnet is a multimodal language model developed by Anthropic. This model demonstrates exceptional performance with an average score of 84.1% across 9 benchmarks. It excels particularly in GSM8k (96.4%), BIG-Bench Hard (93.1%), HumanEval (92.0%). It supports a 400K 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 2024, it represents Anthropic's latest advancement in AI technology.

Google

Gemma 3n E4B Instructed

Google

Gemma 3n E4B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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.

Anthropic

Claude 3.5 Sonnet

Anthropic

2024-06-21

Google

Gemma 3n E4B Instructed

Google

2025-06-26

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.5 Sonnet

$42.00 cheaper
Input:$3.00
Output:$15.00
Google

Gemma 3n E4B Instructed

Input:$20.00
Output:$40.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.5 Sonnet

Larger context
Max Context:400.0K
Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B

Average performance across 5 common benchmarks

Anthropic

Claude 3.5 Sonnet

+25.7%
Average Score:81.9%
Google

Gemma 3n E4B Instructed

Average Score:56.2%

Performance comparison across key benchmark categories

Anthropic

Claude 3.5 Sonnet

code
+53.1%
92.0%
math
+34.0%
86.4%
general
+39.6%
81.2%
Google

Gemma 3n E4B Instructed

code
38.9%
math
52.4%
general
41.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3n E4B Instructed

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 3.5 Sonnet

2 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 101 tok/s
Latency: 0.5ms
Google

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
Anthropic

Claude 3.5 Sonnet

+25.7%
Avg Score:81.9%
Providers:2
Google

Gemma 3n E4B Instructed

Avg Score:56.2%
Providers:1