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.

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Anthropic

Claude 3.5 Haiku

Anthropic

2024-10-22

DeepSeek

DeepSeek VL2 Tiny

DeepSeek

2024-12-13

1 month newer

Performance Metrics

Context window and performance specifications

Anthropic

Claude 3.5 Haiku

Larger context
Max Context:400.0K
DeepSeek

DeepSeek VL2 Tiny

Max Context:-
Parameters:3.0B

Performance comparison across key benchmark categories

Anthropic

Claude 3.5 Haiku

math
+23.9%
77.5%
general
57.6%
DeepSeek

DeepSeek VL2 Tiny

math
53.6%
general
+5.0%
62.5%

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
DeepSeek

DeepSeek VL2 Tiny

0 providers
Anthropic

Claude 3.5 Haiku

Avg Score:0.0%
Providers:3
DeepSeek

DeepSeek VL2 Tiny

Avg Score:0.0%
Providers:0