Claude 3.5 Haiku vs Llama 3.1 70B Instruct Comparison
Comparing Claude 3.5 Haiku and Llama 3.1 70B Instruct across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.5 Haiku outperforms in 2 benchmarks (DROP, HumanEval), while Llama 3.1 70B Instruct is better at 2 benchmarks (GPQA, MMLU-Pro).
Both models are evenly matched across the 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 4.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 20.0x more expensive than Llama 3.1 70B Instruct ($0.20/1M tokens).
In conclusion, Claude 3.5 Haiku is more expensive than Llama 3.1 70B 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 3.1 70B Instruct's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Llama 3.1 70B Instruct is limited to 128,000 tokens.
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while Llama 3.1 70B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
Claude 3.5 Haiku was released on 2024-10-22, while Llama 3.1 70B Instruct was released on 2024-07-23.
Claude 3.5 Haiku is 3 months newer than Llama 3.1 70B Instruct.
Oct 22, 2024
1.4 years ago
3mo newerJul 23, 2024
1.7 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 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. The availability of providers can affect quality of the model and reliability.
Claude 3.5 Haiku
Llama 3.1 70B Instruct
Outputs Comparison
Key Takeaways
Claude 3.5 Haiku
View detailsAnthropic
Detailed Comparison
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