Llama 3.1 70B Hanami x1
VerifiedA closed-weight Llama 3.1 70B variant by Sao10k for text generation.
About Llama 3.1 70B Hanami x1
This model builds directly on the Llama 3.1 70B architecture with customizations applied by Sao10k. It maintains a text-only modality and a fixed 16,000-token context limit. Because the weights remain closed, distribution and usage are managed solely by the developer.
The Hanami x1 release focuses on stable text processing within the given context size. It supports typical LLM workloads such as conversation, summarization, and content drafting. Integration occurs through authorized channels that respect the proprietary nature of the weights.
Capabilities
How Llama 3.1 70B Hanami x1 compares
Llama 3.1 70B Hanami x1 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Llama 3.1 70B Hanami x1 ranks #119 of 141
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Multilingual Application Development
The model processes and generates text across languages effectively, supporting tasks like translation and localized content creation with its multilingual capabilities.
Technical Code Assistance
It generates and refines code while following detailed instructions, making it useful for scripting, debugging, and building software prototypes.
Long-Form Content Summarization
Strong summarization skills allow it to condense extensive documents or reports into concise overviews without losing critical details.
Strengths & limitations
Strengths
- +Strong reasoning at 70B scale
- +Good instruction adherence
- +Balanced performance on diverse tasks
Limitations
- –16k token context window
- –Text-only modality
- –Fine-tune may introduce domain biases
Cost calculator
Estimate what Llama 3.1 70B Hanami x1 would cost for your usage.
Based on Llama 3.1 70B Hanami x1's $3.00/1M input · $3.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "sao10k/l3.1-70b-hanami-x1",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: sao10k/l3.1-70b-hanami-x1
Editor's verdict
Llama 3.1 70B Hanami x1 is Sao10k's proprietary language models with a 16K-token context window.
At $3.00 per 1M output tokens, it is mid-priced for its class.
It is available through Sao10k's API and aggregators like OpenRouter.
Best suited to strong reasoning at 70b scale and good instruction adherence.
Frequently asked questions
The model has a context window of 16000 tokens.
User reviews
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