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 | Sarvam 105BsarvamRemove | |
|---|---|---|
| Provider | meganova | sarvam |
| Discovery tier | Efficient | Efficient |
| Added | Sep 20, 2025 | May 12, 2026 |
| Limits | ||
| Context window | 65.54K | 131.07KBest |
| Max output | — | 4.1K |
| Average output | 198 tokens | 1.1K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.06 | $0.054Best |
| Output | $0.50 | $0.21Best |
| Cache read | — | $0.0336 |
| Benchmark indexes | ||
| Intelligence Index | — | 8.8 |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Reasoning effort | — | low, medium, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Manta Pro 1.0
- Sarvam 105B
Intelligence Index
- Manta Pro 1.0—
- Sarvam 105B8.8
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Manta Pro 1.0: —
- Sarvam 105B: 0.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Manta Pro 1.0: —
- Sarvam 105B: 11.0%
GPQA Diamond
Graduate-level science questions
- Manta Pro 1.0: —
- Sarvam 105B: 73.8%
IFBench
Following precise output instructions
- Manta Pro 1.0: —
- Sarvam 105B: 34.4%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Manta Pro 1.0: —
- Sarvam 105B: 1.5%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Manta Pro 1.0: —
- Sarvam 105B: 46.8%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Manta Pro 1.0: —
- Sarvam 105B: 0.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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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