eva-unit-01 · Open weights
EVA-LLaMA-3.33-70B-v0.1
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)
- 459 tokens
- Longer than 45% of 468 models
Side by side
EVA-LLaMA-3.33-70B-v0.1 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| EVA-LLaMA-3.33-70B-v0.1eva-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 | Sep 25, 2025 | Jul 26, 2025 |
| Limits | ||
| Context window | 32.77KBest | 16.38K |
| Max output | — | 8.19K |
| Average output | 459 tokens | 238 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $2.01 | $0.80Best |
| Output | $2.01 | $0.80Best |
| Performance | ||
| Throughput | 17.5 tok/s | — |
| Time to first token | 8.6 s | — |
| Request success (24h) | 25.5% | 41.3%Best |
| 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.
- Throughput
- 17.5 tok/s
- Faster than 11% of 254 models
- Time to first token
- 8.6 s
- Quicker than 14% of 254 models
- Prompt cache hits
- 0.0%
- Request success (24h)
- 25.5%
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.
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-v0.1",
"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-v0.1",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)eva-unit-01
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