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meganova · Efficient

Manta Pro 1.0

Added Sep 20, 2025

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Use in the app

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.

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Manta Pro 1.0meganovaThis modelAmazon Nova Lite 1.0amazonRemove
Providermeganovaamazon
Discovery tierEfficientEfficient
AddedSep 20, 2025Dec 3, 2024
Limits
Context window65.54K300KBest
Max output—5.12K
Average output198 tokens44 tokens
Pricing, USD per 1M tokens
Input$0.06$0.0595Best
Output$0.50$0.24Best
Benchmark indexes
Intelligence Index—6.7
Math Index—7.0
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • Manta Pro 1.0
  • Amazon Nova Lite 1.0

Intelligence Index

  • Manta Pro 1.0—
  • Amazon Nova Lite 1.06.7
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 7.0

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 19.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 4.3%

  • GPQA Diamond

    Graduate-level science questions

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 43.3%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 59.0%

  • IFBench

    Following precise output instructions

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 34.1%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 16.7%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 7.0%

  • AIME

    Competition mathematics

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 10.7%

  • MATH-500

    Competition math problems

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 76.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 0.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 17.5%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Manta Pro 1.0: —
    • Amazon Nova Lite 1.0: 19.0%

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.

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": "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)

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