Llama 3.3 Euryale 70B with Jev
Llama 3.3 Euryale 70B is a model from Sao10K, released 2024-12-18. It costs $0.650 per million input tokens and $0.750 per million output tokens, reads up to 131K tokens of context, and writes up to 16,384 tokens in one reply. Through llm11, set model to sao10k/l3.3-euryale-70b.
- Input price
- $0.650 / 1M
- Output price
- $0.750 / 1M
- Context window
- 131K tokens
- Max output
- 16K tokens
- Released
- 2024-12-18
- Accepts
- text
Read from the live catalogue and refreshed daily. At blended list price, 52% of the 332 priced models we can call cost more.
Using Llama 3.3 Euryale 70B 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 3.3 Euryale 70B does the answering when Jev sends it work, or when you name it yourself. At list price Llama 3.3 Euryale 70B falls in the llm11-balanced band, but no pack routes to it because Sao10K is not one of the labs the packs draw from. You can still pin it: pass sao10k/l3.3-euryale-70b as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Llama 3.3 Euryale 70B 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 | $0.00048 | $0.475 |
| Question over retrieved documents | 4,000 / 500 | $0.00298 | $2.98 |
| Long document summary | 30,000 / 1,000 | $0.020 | $20.25 |
Cheaper models to try
The catalogue has no benchmark score for Llama 3.3 Euryale 70B, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Qwen Qwen3.5 Plus 2026-04-20 | $0.300 | $1.80 | 1M | |
| Qwen Qwen3 VL 8B ThinkingRetires 2026-10-09 | $0.180 | $2.10 | 131K | |
| Qwen Qwen3 VL 235B A22B Instruct | $0.210 | $1.90 | 262K | |
| Cohere Command A+ | $0.300 | $1.50 | 192K |
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/l3.3-euryale-70b",
messages=[{"role": "user", "content": "Hello"}],
)More from Sao10K
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Llama 3.1 Euryale 70B v2.2 | $0.850 | $0.850 | 131K | |
| Llama 3 8B Lunaris | $0.040 | $0.050 | 8K |
Questions
- What is Llama 3.3 Euryale 70B 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 3.3 Euryale 70B does the answering when Jev sends it work, or when you name it yourself. At list price Llama 3.3 Euryale 70B falls in the llm11-balanced band, but no pack routes to it because Sao10K is not one of the labs the packs draw from. You can still pin it: pass sao10k/l3.3-euryale-70b as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Llama 3.3 Euryale 70B a System One model?
- No. Llama 3.3 Euryale 70B 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 3.3 Euryale 70B cost?
- $0.650 per million input tokens and $0.750 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00298, so a thousand of them is about $2.98. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Llama 3.3 Euryale 70B context window?
- 131,072 tokens, with up to 16,384 tokens in a single reply.
- Does Llama 3.3 Euryale 70B 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 3.3 Euryale 70B through llm11?
- Yes. Set model to sao10k/l3.3-euryale-70b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Llama 3.3 Euryale 70B?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Llama 3.3 Euryale 70B falls in the llm11-balanced band, but no pack routes to it because Sao10K is not one of the labs the packs draw from. You can still pin it: pass sao10k/l3.3-euryale-70b as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Llama 3.3 Euryale 70B?
- Nearest in price and below it: Qwen Qwen3.5 Plus 2026-04-20 at $0.300 in and $1.80 out, Qwen Qwen3 VL 8B Thinking at $0.180 in and $2.10 out and Qwen Qwen3 VL 235B A22B Instruct at $0.210 in and $1.90 out. The catalogue has no benchmark score for Llama 3.3 Euryale 70B, so this is a price ordering. It does not claim these answer as well.