Analysis Summary
Sao10k's Llama 3.1 Euryale 70B v2.2 is a 70B text model with a 131K context window, tool use, and function calling. It is listed at $0.85 per million input and output tokens, while no benchmark results are supplied for this specific variant. The available data therefore supports its deployment shape more clearly than its actual quality.
The long context and integration support make it relevant to retrieval assistants, structured operations, and multi-step API workflows. Its pricing is manageable for targeted use, but the lack of measured reasoning, coding, and instruction-following evidence requires task-level validation. Consider it for specialized experiments or self-directed agent workflows, not as a default model for polished content or autonomous execution.
Assessed September 7, 2026
Editorial notes
Llama 3.1 Euryale 70B v2.2 combines a 131K context with tool use and function calling at moderate cost, but missing benchmarks and its older release limit confidence for demanding client work.
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DFO Verdict
Llama 3.1 Euryale 70B v2.2 combines a 131K context with tool use and function calling at moderate cost, but missing benchmarks and its older release limit confidence for demanding client work.
How Sao10K: Llama 3.1 Euryale 70B v2.2 compares
Its 131K-token context window is larger than 48% of the models we list. At $0.85 per million input tokens it is cheaper than 29% 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 | $0.85 | $0.000850 |
| Output | $0.85 | $0.000850 |
What would Sao10K: Llama 3.1 Euryale 70B v2.2 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 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Sao10K: Llama 3.1 Euryale 70B v2.2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Sao10K: Llama 3.1 Euryale 70B v2.2
Euryale L3.1 70B v2.2 is a model focused on creative roleplay from Sao10k. It is the successor of Euryale L3 70B v2.1.
Explore Related Models
Frequently asked questions about Sao10K: Llama 3.1 Euryale 70B v2.2
How much does Sao10K: Llama 3.1 Euryale 70B v2.2 cost?
Sao10K: Llama 3.1 Euryale 70B v2.2 costs $0.85 per million input tokens and $0.85 per million output tokens.
What is the context window of Sao10K: Llama 3.1 Euryale 70B v2.2?
Sao10K: Llama 3.1 Euryale 70B v2.2 has a context window of 131,072 tokens (131K).
What can Sao10K: Llama 3.1 Euryale 70B v2.2 do?
Sao10K: Llama 3.1 Euryale 70B v2.2 supports tool use and function calling.
Who created Sao10K: Llama 3.1 Euryale 70B v2.2?
Sao10K: Llama 3.1 Euryale 70B v2.2 is developed by Sao10K and was released on August 28, 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: September 7, 2026 8:38 pm