meganova · Efficient
Manta Pro 1.0
Tailored for deep reasoning, long-form generation, and RAG workloads. 32K token context window.
- Input
- Text
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.06
- Output
- $0.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 65.5K
- Max output
- —
- Average output (7 days)
- 198 tokens
- Longer than 20% of 468 models
Side by side
Manta Pro 1.0 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Manta Pro 1.0meganovaThis model | Manta Mini 1.0meganovaRemove | |
|---|---|---|
| Provider | meganova | meganova |
| Discovery tier | Efficient | Efficient |
| Added | Sep 20, 2025 | Sep 20, 2025 |
| Limits | ||
| Context window | 65.54KBest | 8.19K |
| Average output | 198 tokens | 35 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.06 | $0.02Best |
| Output | $0.50 | $0.16Best |
| Performance | ||
| Request success (24h) | — | 95.8% |
| Capabilities | ||
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
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": "meganova-ai/manta-pro-1.0",
"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="meganova-ai/manta-pro-1.0",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)meganova
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- EfficientCompare
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