Sao10K: Llama 3.1 Euryale 70B v2.2
Analysis Summary
Sao10K's Llama 3.1 Euryale 70B v2.2 is a text-only model with a 131,072-token context window, tool use, and function calling. Its long context and low listed input and output prices make it attractive for document-heavy automation and economical API experimentation. No benchmark data is supplied for this specific variant, so its reasoning depth, coding quality, and instruction-following consistency remain unverified.
Potential workloads include retrieval assistants, structured extraction, internal knowledge tools, and high-volume drafting where review is built into the process. It should not be assumed to match stronger Llama or frontier instruction-tuned systems simply because it has a large parameter count. The practical pricing is a meaningful advantage, but client-facing deployment should begin with task-specific evaluations and strict output checks. It is a value-oriented specialist rather than a lead model for high-stakes work.
Assessed August 9, 2026
Editorial notes
Euryale 70B combines a 131K context window with tool use and function calling at low listed pricing, but the supplied record has no benchmarks to confirm its reasoning, coding, or editorial reliability.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Euryale 70B combines a 131K context window with tool use and function calling at low listed pricing, but the supplied record has no benchmarks to confirm its reasoning, coding, or editorial reliability.
How Sao10K: Llama 3.1 Euryale 70B v2.2 compares
Its 131K-token context window is larger than 50% 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 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 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.
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.