IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.0%
SpeedOutput tokens per second.20/sMedian 67/s
First tokenSeconds to the first output token.1.3 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.65Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.75Median $2.55
ContextMaximum tokens in one request.131KMedian 262K
EloLMArena rating and rank.—Median 1422
Details
From OpenRouter- API IDThe model ID on OpenRouter.
sao10k/l3.3-euryale-70b- Max outputMaximum output tokens per request.
- 16K
- Knowledge cutoffLast date of training data.
- 31 Dec 2023
- ToolsTool calls on OpenRouter.
- No
- JSON outputOutput follows a given JSON schema.
- Yes
- Cache read / 1MUS dollars per 1M cached tokens.
- —
- WeightsLink to the published weights.
- Hugging Face (opens in a new tab) ↗
- RetiresDate OpenRouter removes the model.
- —
Capabilities
Index per category, out of 100.Results
0 countedThis model has no scored result.
Sources
BenchLMCC BY-NC 4.0OpenRouterTerms restrict reuseHistory
5 releases23 Oct 202612 Nov 2026
Questions
- How much does Llama 3.3 Euryale 70B cost?
- $0.65 per 1M input tokens, $0.75 per 1M output tokens.
- How fast is Llama 3.3 Euryale 70B?
- 20 output tokens per second, 1.3 s to the first token.
- What is the context window of Llama 3.3 Euryale 70B?
- 131K tokens.
- Is Llama 3.3 Euryale 70B open source?
- Yes. Its weights are published.
- When was Llama 3.3 Euryale 70B released?
- December 2024.