meganova · Efficient
Manta Flash 1.0
The flagship model for balanced reasoning and context-rich dialogue. Perfect for AI roleplay, storytelling, and assistant tasks with a 16K window.
- Input
- Text
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.02
- Output
- $0.16
Reference prices as published by the model provider. API example
Specifications
- Context window
- 16.4K
- Max output
- —
- Average output (7 days)
- 191 tokens
- Longer than 20% of 468 models
Side by side
Manta Flash 1.0 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Manta Flash 1.0meganovaThis model | Manta Pro 1.0meganovaRemove | |
|---|---|---|
| Provider | meganova | meganova |
| Discovery tier | Efficient | Efficient |
| Added | Sep 20, 2025 | Sep 20, 2025 |
| Limits | ||
| Context window | 16.38K | 65.54KBest |
| Average output | 191 tokens | 198 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.02Best | $0.06 |
| Output | $0.16Best | $0.50 |
| Performance | ||
| Throughput | 73.1 tok/s | — |
| Time to first token | 4.1 s | — |
| Request success (24h) | 100.0% | — |
| 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
- 73.1 tok/s
- Faster than 48% of 263 models
- Time to first token
- 4.1 s
- Quicker than 42% of 263 models
- Request success (24h)
- 100.0%
- Reliable
Hourly request success · last 72 hoursLowest hour 92.3%
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
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-flash-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-flash-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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