Claude 3.5 Haiku vs Llama 3.2 90B Instruct Comparison
Comparing Claude 3.5 Haiku and Llama 3.2 90B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.5 Haiku outperforms in 1 benchmarks (MATH), while Llama 3.2 90B Instruct is better at 2 benchmarks (GPQA, MGSM).
Llama 3.2 90B Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 2.3x more expensive than Llama 3.2 90B Instruct ($0.35/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 10.0x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).
In conclusion, Claude 3.5 Haiku is more expensive than Llama 3.2 90B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.5 Haiku accepts 200,000 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Llama 3.2 90B Instruct is limited to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Llama 3.2 90B Instruct supports multimodal inputs, whereas Claude 3.5 Haiku does not.
Llama 3.2 90B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
Llama 3.2 90B Instruct
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.2
Open weights
Release Timeline
When each model was launched
Claude 3.5 Haiku was released on 2024-10-22, while Llama 3.2 90B Instruct was released on 2024-09-25.
Claude 3.5 Haiku is 1 month newer than Llama 3.2 90B Instruct.
Oct 22, 2024
1.4 years ago
3w newerSep 25, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. The availability of providers can affect quality of the model and reliability.
Claude 3.5 Haiku
Llama 3.2 90B Instruct
Outputs Comparison
Key Takeaways
Claude 3.5 Haiku
View detailsAnthropic
Detailed Comparison
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