Sao10K: Llama 3 8B Lunaris
Sao10K: Llama 3 8B Lunaris is a text-only model from sao10k with an 8,192-token context window and a maximum completion length of 16,384 tokens. It does not support tool use, reasoning modes, or structured output, so it is best suited to straightforward text generation tasks rather than agentic workflows or data-extraction pipelines that require reliable formatted responses. At $0.04 per million input tokens and $0.05 per million output tokens, it sits at the lower end of the pricing spectrum, which makes it worth considering for cost-sensitive or high-volume text generation work. The trade-off is transparency: there is no independent benchmark coverage available, so performance relative to comparable models is unproven. Teams that can evaluate it against their own task data before committing will be better positioned to judge whether the low cost compensates for the absence of third-party validation.
- Model ID
- sao10k/l3-lunaris-8b
- Vendor
- sao10k
- Released
- August 2024
- Tokenizer
- Llama3
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 16,384 tokens
- Tool Calling
- not supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.04/M input and $0.05/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | under $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.02 |
| A month of a busy support chatbot | 5M in / 2M out | $0.30 |
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Quick answers
- How much does Sao10K: Llama 3 8B Lunaris cost?
- $0.04 per million input tokens and $0.05 per million output tokens.
- What is Sao10K: Llama 3 8B Lunaris's context window?
- 8,192 tokens, roughly 12 pages of text in a single request.
- Does Sao10K: Llama 3 8B Lunaris support tool calling?
- It supports structured output.
- Can Sao10K: Llama 3 8B Lunaris process images?
- No, it is text-only on the input side.