Sao10K: Llama 3.1 70B Hanami x1
Analysis Summary
Sao10K Llama 3.1 70B Hanami x1 is a text-only model with a 16K context window. The listing provides no benchmark data, tool-use indicators, or function-calling capability, so there is limited evidence for reasoning, coding, instruction following, or agentic reliability. Its input pricing is also high relative to other models in this batch.
The practical role is narrow: short-form drafting, stylistic experimentation, or workloads where an existing integration already determines model choice. The context limit makes it less suitable for long client briefs, large content plans, or codebase analysis. Without measured evidence, teams should require prompt-level testing for factuality, tone consistency, and structured output before adoption. It is not a preferred new addition to a client workflow when cheaper models offer stronger documented capabilities.
Assessed August 9, 2026
Editorial notes
Llama 3.1 70B Hanami x1 may support long-form text work, but its 16K context, relatively high listed input price, and lack of benchmark data make it a weak production default.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3.1 70B Hanami x1 may support long-form text work, but its 16K context, relatively high listed input price, and lack of benchmark data make it a weak production default.
How Sao10K: Llama 3.1 70B Hanami x1 compares
Its 16K-token context window is larger than 21% of the models we list. At $3.00 per million input tokens it is cheaper than 10% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $3.00 | $0.003000 |
| Output | $3.00 | $0.003000 |
What would Sao10K: Llama 3.1 70B Hanami x1 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 717 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Sao10K: Llama 3.1 70B Hanami x1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Sao10K: Llama 3.1 70B Hanami x1
This is Sao10K's experiment over Euryale v2.2.
Frequently asked questions about Sao10K: Llama 3.1 70B Hanami x1
How much does Sao10K: Llama 3.1 70B Hanami x1 cost?
Sao10K: Llama 3.1 70B Hanami x1 costs $3.00 per million input tokens and $3.00 per million output tokens.
What is the context window of Sao10K: Llama 3.1 70B Hanami x1?
Sao10K: Llama 3.1 70B Hanami x1 has a context window of 16,000 tokens (16K).
Who created Sao10K: Llama 3.1 70B Hanami x1?
Sao10K: Llama 3.1 70B Hanami x1 is developed by Sao10K and was released on January 8, 2025.