Model Comparison

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

Anthropic

Claude 3.5 Haiku

Anthropic

Claude 3.5 Haiku is a language model developed by Anthropic. It achieves strong performance with an average score of 60.8% across 9 benchmarks. It excels particularly in HumanEval (88.1%), MGSM (85.6%), DROP (83.1%). It supports a 400K token context window for handling large documents. The model is available through 3 API providers. Released in 2024, it represents Anthropic's latest advancement in AI technology.

Google

Gemma 3 4B

Google

Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Anthropic

Claude 3.5 Haiku

Anthropic

2024-10-22

Google

Gemma 3 4B

Google

2025-03-12

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.5 Haiku

Input:$0.80
Output:$4.00
Google

Gemma 3 4B

$4.74 cheaper
Input:$0.02
Output:$0.04

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.5 Haiku

Larger context
Max Context:400.0K
Google

Gemma 3 4B

Max Context:262.1K
Parameters:4.0B

Average performance across 4 common benchmarks

Anthropic

Claude 3.5 Haiku

+10.7%
Average Score:66.0%
Google

Gemma 3 4B

Average Score:55.3%

Performance comparison across key benchmark categories

Anthropic

Claude 3.5 Haiku

code
+26.6%
88.1%
math
+13.0%
77.5%
general
+16.9%
57.6%
Google

Gemma 3 4B

code
61.5%
math
64.5%
general
40.7%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemma 3 4B

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Anthropic

Claude 3.5 Haiku

3 providers

Google

Throughput: 42 tok/s
Latency: 0.4ms

Bedrock

Throughput: 104 tok/s
Latency: 0.5ms

Anthropic

Throughput: 100 tok/s
Latency: 0.3ms
Google

Gemma 3 4B

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
Anthropic

Claude 3.5 Haiku

+10.7%
Avg Score:66.0%
Providers:3
Google

Gemma 3 4B

Avg Score:55.3%
Providers:1