Analysis Summary
Llama 3 Euryale 70B v2.1 is a 70B-class text-to-text model with an 8K context window. The listing documents tool use and function calling, which gives it potential for structured integrations and workflow orchestration. However, no reasoning, coding, agentic, or instruction-following benchmarks are supplied, so capability and reliability cannot be compared confidently with measured alternatives.
The documented integration features could support routing, extraction, and controlled API actions, provided schemas and failure handling are tested carefully. The 8K context window restricts long documents, large content briefs, and codebase analysis. Pricing is listed at $1.48 per million tokens for both input and output, which is difficult to defend for bulk traffic without evidence of corresponding quality or a specific deployment advantage.
Trial it for narrow tool-enabled tasks if its runtime environment is already available. Otherwise, choose a benchmarked model with comparable integration features and clearer cost justification.
Assessed August 9, 2026
Editorial notes
Llama 3 Euryale 70B v2.1 provides documented tool use and function calling in a text-only model with an 8K context window. It has no benchmark data here, and its listed pricing is high for an unverified deployment choice.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3 Euryale 70B v2.1 provides documented tool use and function calling in a text-only model with an 8K context window. It has no benchmark data here, and its listed pricing is high for an unverified deployment choice.
How Sao10k: Llama 3 Euryale 70B v2.1 compares
Its 8K-token context window is larger than 21% of the models we list. At $1.48 per million input tokens it is cheaper than 20% 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 | $1.48 | $0.001480 |
| Output | $1.48 | $0.001480 |
What would Sao10k: Llama 3 Euryale 70B v2.1 cost your business?
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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 Euryale 70B v2.1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Sao10k: Llama 3 Euryale 70B v2.1
Euryale 70B v2.1 is a model focused on creative roleplay from Sao10k. - Better prompt adherence. - Better anatomy / spatial awareness. - Adapts much better to unique and custom..
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Frequently asked questions about Sao10k: Llama 3 Euryale 70B v2.1
How much does Sao10k: Llama 3 Euryale 70B v2.1 cost?
Sao10k: Llama 3 Euryale 70B v2.1 costs $1.48 per million input tokens and $1.48 per million output tokens.
What is the context window of Sao10k: Llama 3 Euryale 70B v2.1?
Sao10k: Llama 3 Euryale 70B v2.1 has a context window of 8,192 tokens (8K).
What can Sao10k: Llama 3 Euryale 70B v2.1 do?
Sao10k: Llama 3 Euryale 70B v2.1 supports tool use and function calling.
Who created Sao10k: Llama 3 Euryale 70B v2.1?
Sao10k: Llama 3 Euryale 70B v2.1 is developed by Sao10k and was released on June 18, 2024.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 25, 2026 8:38 pm