Sao10K · language model
Llama 3 8B Lunaris: pricing, context and benchmarks
Llama 3 8B Lunaris is Sao10K's model released on August 13, 2024. It costs $0.04 per million input tokens and $0.05 per million output tokens, with a 8.2K-token context window. No independent score has been published for it so far.
What you need to know about Llama 3 8B Lunaris
Sao10K put Llama 3 8B Lunaris online on August 13, 2024. It accepts text as input and produces text. Its context window reaches 8,192 tokens, larger than 3 % of the models in the registry, and it can write up to 7,372 tokens in one go.
Released more than 2 years ago, it belongs to a generation most vendors have since superseded.
Llama 3 8B Lunaris pricing
On OpenRouter, Llama 3 8B Lunaris costs $0.04 per million input tokens and $0.05 per million output tokens. Counting three tokens read for every token written, its average price is $0.042 per million, more expensive than 2 % of paid models (18.2 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0001. At 1,000 tasks a day, budget $3 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Llama 3 8B Lunaris. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It does not support tool calling: it is not suited to driving an AI agent that has to act.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at December 2023.
Its weights are open and downloadable from Hugging Face: you can run it on your own machines without sending your data to a third party.
Other Sao10K models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Llama 3.1 Euryale 70B v2.2 | Aug 28, 2024 | $0.85 | — |
Verdict
Computed score: 60/100, from public data (performance, price, context, features).
Strengths
- Low price: cheaper than 98 % of paid models.
- Open weights: self-hostable, your data stays with you.
Limitations
- Short context (8.2K tokens): long documents must be split.
- No tool calling: unusable as an agent's brain.
- No independent score published: performance cannot be verified.
- Older generation, often replaced by a newer model from the same vendor.
- Text only: reads neither images nor files.
Avoid if…
- you are building an agent that must call tools;
- you analyse long documents in one go.
Alternatives
- Mistral Small 3$0.06
- Hy-MT2-1.8B$0.08
- MythoMax 13B$0.09
- Phi 4$0.09
- Llama 3.2 1B Instruct$0.07
- LFM2.5-2.6Bfree
Comparisons and tools
Learn more
Frequently asked questions
How much does Llama 3 8B Lunaris cost?
$0.04 per million input tokens and $0.05 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0001.
How big is Llama 3 8B Lunaris's context window?
8,192 tokens, roughly 6,000 words, with a maximum of 7,372 output tokens.
Can Llama 3 8B Lunaris run locally?
Yes, its weights are published.
Is Llama 3 8B Lunaris suitable for an AI agent?
No: without tool calling it cannot act, only answer.
What are the alternatives to Llama 3 8B Lunaris?
The closest models on price and performance are Mistral Small 3, Hy-MT2-1.8B, and MythoMax 13B.
Related articles
- Mistral AI: models, pricing and agentsOctober 25, 2026
- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score