Claude 3 Haiku vs Llama 3.2 3B Instruct Comparison
Comparing Claude 3 Haiku and Llama 3.2 3B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3 Haiku outperforms in 6 benchmarks (ARC-C, GPQA, GSM8k, HellaSwag, MGSM, MMLU), while Llama 3.2 3B Instruct is better at 1 benchmark (MATH).
Claude 3 Haiku significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3 Haiku ($0.25/1M tokens) is 25.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).
For output processing, Claude 3 Haiku ($1.25/1M tokens) is 62.5x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).
In conclusion, Claude 3 Haiku is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3 Haiku accepts 200,000 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Claude 3 Haiku can generate longer responses up to 200,000 tokens, while Llama 3.2 3B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Claude 3 Haiku supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.
Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3 Haiku
Llama 3.2 3B Instruct
License
Usage and distribution terms
Claude 3 Haiku is licensed under a proprietary license, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.2 Community License
Open weights
Release Timeline
When each model was launched
Claude 3 Haiku was released on 2024-03-13, while Llama 3.2 3B Instruct was released on 2024-09-25.
Llama 3.2 3B Instruct is 7 months newer than Claude 3 Haiku.
Mar 13, 2024
2.0 years ago
Sep 25, 2024
1.5 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3 Haiku is available from Anthropic, Bedrock, Google. Llama 3.2 3B Instruct is available from DeepInfra. The availability of providers can affect quality of the model and reliability.
Claude 3 Haiku
Llama 3.2 3B Instruct
Outputs Comparison
Key Takeaways
Claude 3 Haiku
View detailsAnthropic
Detailed Comparison
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