Sao10K: Llama 3.1 70B Hanami x1

Public pricingIntelligence 79/100Small memory

Sao10K: Llama 3.1 70B Hanami x1 एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 16K tokens का context और प्रीमियम profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$3.00/1M

Output

$3.00/1M

Cached

$0.30/1M

Batch

$1.50/1M

Calculate your Llama 3.1 70B Hanami x1 bill.

Set your workload — see cost at your exact volume.

What would Llama 3.1 70B Hanami x1 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Llama 3.1 70B Hanami x1 at a glance.

Memory

16,000

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

llama3

Released

Nov 2024

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Llama 3.1 70B Hanami x1

  • Llama 3.1 70B Hanami x1 fits general-purpose text tasks within its memory tier.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

Llama 3.1 70B Hanami x1 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Llama 3.1 70B Hanami x1 costs roughly $345 per month. Input is $3.00 /1M tokens and output is $3.00 /1M tokens.
Llama 3.1 70B Hanami x1 has a 16,000-token context window (small memory — a few emails or a short document). That means you can fit about 3,000 words of input and history in a single call.
Llama 3.1 70B Hanami x1 was released in November 2024, with training data cut off around December 2023.
Models in a similar class include Llama 3 Euryale 70B v2.1, Llama 3.1 Euryale 70B v2.2, Llama 3.3 Euryale 70B. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Llama 3.1 70B Hanami x1 against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard