Calculate the cost of using llama3.1-8b from Cerebras for your AI applications
Pricing data last updated:
Mode: Chat
Max: 128,000 tokens
Max: 128,000 tokens
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llama3.1-8b is a chat model from Cerebras, one of 8 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.10 per 1M output tokens, ranking 236 out of 2161 chat models by cost and cheaper than 84% of models in this category. llama3.1-8b supports function calling. It accepts up to 128K input tokens.
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 128,000 input tokens. The maximum output length is 128,000 tokens.
At $0.10 per 1M input tokens and $0.10 per 1M output tokens, llama3.1-8b ranks 236 out of 2161 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 84% of models in this category.
llama3.1-8b is one of 8 Cerebras chat models, with support for function calling.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs llama3.1-8b |
|---|---|---|---|---|
| gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% |
| Phi-4 | Azure | $0.13 | $0.50 | +25% |
Similar chat models from other providers
No. llama3.1-8b costs $0.10 per 1M input tokens while gpt-4.1-nano costs $0.10 per 1M input tokens, making gpt-4.1-nano 0% more affordable for input. However, llama3.1-8b may offer different capabilities or performance characteristics that justify the price difference.
llama3.1-8b input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 236 out of 2161 chat models by input cost, making it cheaper than 84% of models in this category. For output, it costs $0.10 per 1M tokens compared to the median of $1.44.
Among Cerebras's 8 chat models, llama3.1-8b ranks 1 by input cost.
The most comparable chat models to llama3.1-8b are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); Phi-4 from Azure ($0.13/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M 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 Cerebras service health in real time on the Bifrost Cerebras Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
llama3.1-8b 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 $0.10 and generating 1M output tokens costs $0.10.
