Llama 3.3 Euryale 70B

Sao10K · released Dec 18, 2024

Open weightsStructured output

Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).

Compare this model Source listing

Specification

Context window: 131K
Max output: 16K
Knowledge cutoff: Dec 31, 2023
Parameters: 70.6B
Licence: llama3
Serving providers: 1
Moderated: No
Uptime: 100.0%

Intelligence

—

Not benchmarked

Coding

—

Coding Index

Agentic

—

Agentic Index

Output speed

8 t/s

Median across providers

Latency

2.17s

Time to first token

Cost per task

$0.05

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Claude Opus 5Anthropic
63.1
Claude Fable 5Anthropic
62.1
GPT-5.6 SolOpenAI
60.9
Kimi K3Moonshot AI
59.7
Qwen3.8 MaxQwen
58.1
Claude Opus 4.8Anthropic
57.3
Muse Spark 1.2Meta
56.8

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table

Model	Intelligence
Claude Opus 5	63.1
Claude Fable 5	62.1
GPT-5.6 Sol	60.9
Kimi K3	59.7
Qwen3.8 Max	58.1
Claude Opus 4.8	57.3
Muse Spark 1.2	56.8

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens: $0.65
Output / 1M tokens: $0.75
Cached input / 1M: Not offered
Blended 3:1: $0.675

One task, estimated

$0.05

Input tokens: 50,000
Output tokens: 25,000
Profile: Standard

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

NextBit

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.