Calculate the cost of using Meta-Llama-3.1-8B from Together AI for your AI applications
Pricing data last updated:
Mode: Completion
Max: 16,384 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
Meta-Llama-3.1-8B is a completion model from Together AI. It is priced at $0.20 per 1M input tokens and $0.20 per 1M output tokens, ranking 1 out of 18 completion models by cost and cheaper than 94% of models in this category. Its 16K-token context window is in the top 39% among completion models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 16,384 input tokens.
At $0.20 per 1M input tokens and $0.20 per 1M output tokens, Meta-Llama-3.1-8B ranks 1 out of 18 completion models by input cost. It is more affordable compared to the median of $1.65 for completion models, and is cheaper than 94% of models in this category.
Meta-Llama-3.1-8B is a completion model from Together AI, its 16K-token context window places it in the top 39% of completion models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs Meta-Llama-3.1-8B |
|---|---|---|---|---|
| mercury-edit-2 | Text-completion-inception | $0.25 | $0.75 | +25% |
| babbage-002 | Text-completion-openai | $0.40 | $0.40 | +100% |
| gpt-3.5-turbo-instruct-0914 | Azure Text | $1.65 | $2.20 | +725% |
Similar completion models from other providers
Yes. Meta-Llama-3.1-8B costs $0.20 per 1M input tokens compared to mercury-edit-2's $0.25 per 1M input tokens, making it 25% more affordable. Both are completion models.
Meta-Llama-3.1-8B input pricing is $0.20 per 1M tokens, which is 88% below the median of $1.65 for completion models. It ranks 1 out of 18 completion models by input cost, making it cheaper than 94% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $2.10.
The most comparable completion models to Meta-Llama-3.1-8B are: mercury-edit-2 from Text-completion-inception ($0.25/1M input tokens); babbage-002 from Text-completion-openai ($0.40/1M input tokens); gpt-3.5-turbo-instruct-0914 from Azure Text ($1.65/1M input tokens); gpt-35-turbo-instruct from Azure Text ($1.65/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor Together AI service health in real time on the Bifrost Together AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
Meta-Llama-3.1-8B is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.20 and generating 1M output tokens costs $0.20.