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

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.

Anthropic

Claude 3.5 Haiku

Anthropic

2024-10-22

Google

Gemini 2.0 Flash-Lite

Google

2025-02-05

3 months newer

Pricing Comparison

Cost per million tokens (USD)

Anthropic

Claude 3.5 Haiku

Input:$0.80
Output:$4.00
Google

Gemini 2.0 Flash-Lite

$4.43 cheaper
Input:$0.07
Output:$0.30

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.5 Haiku

Max Context:400.0K
Google

Gemini 2.0 Flash-Lite

Larger context
Max Context:1.1M

Average performance across 3 common benchmarks

Anthropic

Claude 3.5 Haiku

Average Score:58.7%
Google

Gemini 2.0 Flash-Lite

+11.3%
Average Score:70.0%

Performance comparison across key benchmark categories

Anthropic

Claude 3.5 Haiku

code
+59.2%
88.1%
math
+6.4%
77.5%
general
+2.1%
57.6%
Google

Gemini 2.0 Flash-Lite

code
28.9%
math
71.0%
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 3.5 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

Gemini 2.0 Flash-Lite

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
Anthropic

Claude 3.5 Haiku

Avg Score:58.7%
Providers:3
Google

Gemini 2.0 Flash-Lite

+11.3%
Avg Score:70.0%
Providers:1