Context Window
8,192
Tokens
Model Cost Profile
Sao10k: Llama 3 Euryale 70B v2.1
Developer: sao10k
Pricing updated Mar 11, 2026
Input rank: #265Output rank: #198
Sao10k's Llama 3 Euryale 70B v2.1 model features an extensive context window of 8192 tokens, making it suitable for applications requiring detailed text analysis, such as document summarization and conversational AI. With a competitive pricing structure of $1.48 per million tokens for both input and output, teams can effectively manage costs while scaling their usage based on project demands. This model's capabilities are ideal for organizations looking to enhance their natural language processing tasks without incurring significant financial overhead.
🔧 Tool Calling
Input Price / 1M
$1.48
Prompt tokens
Output Price / 1M
$1.48
Completion tokens
Intelligence (MMLU)
Benchmark Pending
Massive Multitask Language Understanding
Side-by-Side Pricing Table
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $1.48 |
| Output (Completion) | $1.48 |
Price History
Sao10k: Llama 3 Euryale 70B v2.1 Pricing Trend
Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7 — Mar 11
Current Input / 1M
$1.48
Current Output / 1M
$1.48
Cost Calculator
Estimate monthly spend for Sao10k: Llama 3 Euryale 70B v2.1 based on your workload.
01.0B
0500M
Estimated Monthly Cost
$55
25M input + 12M output tokens
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FAQ
Common pricing and benchmark questions for Sao10k: Llama 3 Euryale 70B v2.1.
How much does Sao10k: Llama 3 Euryale 70B v2.1 cost per 1M input tokens?
Sao10k: Llama 3 Euryale 70B v2.1 input pricing is $1.48 per 1M tokens based on the latest synced provider data.
How much does Sao10k: Llama 3 Euryale 70B v2.1 cost per 1M output tokens?
Sao10k: Llama 3 Euryale 70B v2.1 output pricing is $1.48 per 1M tokens based on the latest synced provider data.
What context window does Sao10k: Llama 3 Euryale 70B v2.1 support?
Sao10k: Llama 3 Euryale 70B v2.1 supports a context window of 8,192 tokens.
How can I compare Sao10k: Llama 3 Euryale 70B v2.1 with cheaper alternatives?
Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.