Llama 3 8B Lunaris with Jev
Llama 3 8B Lunaris is a model from Sao10K, released 2024-08-13. It costs $0.040 per million input tokens and $0.050 per million output tokens, reads up to 8K tokens of context, and writes up to 7,372 tokens in one reply. Through llm11, set model to sao10k/l3-lunaris-8b.
- Input price
- $0.040 / 1M
- Output price
- $0.050 / 1M
- Context window
- 8K tokens
- Max output
- 7K tokens
- Released
- 2024-08-13
- Accepts
- text
Read from the live catalogue and refreshed daily. At blended list price, 98% of the 332 priced models we can call cost more.
Using Llama 3 8B Lunaris with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Llama 3 8B Lunaris does the answering when Jev sends it work, or when you name it yourself. At list price Llama 3 8B Lunaris falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass sao10k/l3-lunaris-8b as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Llama 3 8B Lunaris with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00003 | $0.030 |
| Question over retrieved documents | 4,000 / 500 | $0.00018 | $0.185 |
| Long document summary | 30,000 / 1,000 | $0.00125 | $1.25 |
Cheaper models to try
The catalogue has no benchmark score for Llama 3 8B Lunaris, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| OpenAI gpt-oss-20b | $0.018 | $0.090 | 131K | |
| Mistral Mistral Nemo | $0.019 | $0.030 | 131K |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="sao10k/l3-lunaris-8b",
messages=[{"role": "user", "content": "Hello"}],
)More from Sao10K
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Llama 3.3 Euryale 70B | $0.650 | $0.750 | 131K | |
| Llama 3.1 Euryale 70B v2.2 | $0.850 | $0.850 | 131K |
Questions
- What is Llama 3 8B Lunaris with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Llama 3 8B Lunaris does the answering when Jev sends it work, or when you name it yourself. At list price Llama 3 8B Lunaris falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass sao10k/l3-lunaris-8b as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Llama 3 8B Lunaris a System One model?
- No. Llama 3 8B Lunaris answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Llama 3 8B Lunaris cost?
- $0.040 per million input tokens and $0.050 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00018, so a thousand of them is about $0.185. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Llama 3 8B Lunaris context window?
- 8,192 tokens, with up to 7,372 tokens in a single reply.
- Does Llama 3 8B Lunaris support tool calling and structured output?
- The catalogue lists structured output, but it does not list tool calling and reasoning controls.
- Can I use Llama 3 8B Lunaris through llm11?
- Yes. Set model to sao10k/l3-lunaris-8b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Llama 3 8B Lunaris?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Llama 3 8B Lunaris falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass sao10k/l3-lunaris-8b as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Llama 3 8B Lunaris?
- Nearest in price and below it: OpenAI gpt-oss-20b at $0.018 in and $0.090 out and Mistral Mistral Nemo at $0.019 in and $0.030 out. The catalogue has no benchmark score for Llama 3 8B Lunaris, so this is a price ordering. It does not claim these answer as well.