eva-unit-01 · Open weights

EVA Llama 3.33 70B

Added Jul 26, 2025Open weights

A RP/storywriting specialist model, full-parameter finetune of Llama-3.3-70B-Instruct on mixture of synthetic and natural data. It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and flavor of the resulting model.

Input: Text
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $2.01
Output: $2.01

Reference prices as published by the model provider. API example

Specifications

Context window: 32.8K
Max output: —
Average output (7 days): 321 tokens; Longer than 35% of 468 models

Side by side

EVA Llama 3.33 70B compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	EVA Llama 3.33 70Beva-unit-01This model	EVA-Qwen2.5-32B-v0.2eva-unit-01Remove
Provider	eva-unit-01	eva-unit-01
Discovery tier	Open weights	Open weights
Added	Jul 26, 2025	Jul 26, 2025
Context window	32.77KBest	16.38K
Max output	—	8.19K
Average output	321 tokens	238 tokens
Pricing, USD per 1M tokens
Input	$2.01	$0.80Best
Output	$2.01	$0.80Best
Performance
Request success (24h)	50.0%Best	41.3%
Capabilities
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits: 0.0%
Request success (24h): 50.0%

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.0",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

eva-unit-01

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