Analysis Summary
Sao10K Llama 3.3 Euryale 70B is a text-only model with a 131K context window and moderate listed pricing. The long context may help with content briefs, reference material, and multi-document prompts, but this listing includes no benchmark data and no declared tool-use or function-calling capability. Its actual reasoning and instruction-following reliability therefore remain uncertain.
The model may be useful for creative drafting, rewriting, and role-specific text generation when outputs are reviewed by an editor. It is a weaker fit for autonomous agents, coding workflows, and tool-connected operations because the supplied data does not establish those capabilities. Test tone control, factual consistency, and long-context retention before production use. Choose it only for a clearly bounded content role, not as a general replacement for models with measured performance and broader integration support.
Assessed August 9, 2026
Editorial notes
Llama 3.3 Euryale 70B has a 131K context window and moderate text pricing, but no benchmark data or listed tool capabilities limits confidence for production client work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Llama 3.3 Euryale 70B has a 131K context window and moderate text pricing, but no benchmark data or listed tool capabilities limits confidence for production client work.
How Sao10K: Llama 3.3 Euryale 70B compares
Its 131K-token context window is larger than 50% of the models we list. At $0.65 per million input tokens it is cheaper than 33% 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 | $0.65 | $0.000650 |
| Output | $0.75 | $0.000750 |
What would Sao10K: Llama 3.3 Euryale 70B 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 3.3 Euryale 70B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Sao10K: Llama 3.3 Euryale 70B
Euryale L3.3 70B is a model focused on creative roleplay from Sao10k. It is the successor of Euryale L3 70B v2.2.
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Frequently asked questions about Sao10K: Llama 3.3 Euryale 70B
How much does Sao10K: Llama 3.3 Euryale 70B cost?
Sao10K: Llama 3.3 Euryale 70B costs $0.65 per million input tokens and $0.75 per million output tokens.
What is the context window of Sao10K: Llama 3.3 Euryale 70B?
Sao10K: Llama 3.3 Euryale 70B has a context window of 131,072 tokens (131K).
Who created Sao10K: Llama 3.3 Euryale 70B?
Sao10K: Llama 3.3 Euryale 70B is developed by Sao10K and was released on December 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