Model Comparison

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

Anthropic

Claude Opus 4

Anthropic

Claude Opus 4 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 64.6% across 9 benchmarks. It excels particularly in MMMLU (88.8%), TAU-bench Retail (81.4%), GPQA (79.6%). It supports a 328K token context window for handling large documents. The model is available through 3 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

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 Opus 4

Anthropic

2025-05-22

Google

Gemma 3n E4B Instructed

Google

2025-06-26

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude Opus 4

Input:$15.00
Output:$75.00
Google

Gemma 3n E4B Instructed

$30.00 cheaper
Input:$20.00
Output:$40.00

Performance Metrics

Context window and performance specifications

Anthropic

Claude Opus 4

Larger context
Max Context:328.0K
Google

Gemma 3n E4B Instructed

Max Context:64.0K
Parameters:8.0B

Average performance across 2 common benchmarks

Anthropic

Claude Opus 4

+59.9%
Average Score:77.6%
Google

Gemma 3n E4B Instructed

Average Score:17.6%

Performance comparison across key benchmark categories

Anthropic

Claude Opus 4

general
+29.5%
71.1%
Google

Gemma 3n E4B Instructed

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 Opus 4

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 120 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemma 3n E4B Instructed

1 providers

Together

Throughput: 42.09 tok/s
Latency: 0.43ms
Anthropic

Claude Opus 4

+59.9%
Avg Score:77.6%
Providers:3
Google

Gemma 3n E4B Instructed

Avg Score:17.6%
Providers:1