amazon · Balanced
Amazon Nova Pro 1.0
Amazon's new flagship model. Can handle up to 300k input tokens, with comparable performance to ChatGPT and Claude 3.5 Sonnet.
- Input
- Text
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $0.80
- Output
- $3.20
Reference prices as published by the model provider. API example
Specifications
- Context window
- 300K
- Max output
- 32K
- Average output (7 days)
- 56 tokens
- Longer than 4% of 465 models
Side by side
Amazon Nova Pro 1.0 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Amazon Nova Pro 1.0amazonThis model | Llama 3.1 8B (decentralized)MetaRemove | |
|---|---|---|
| Provider | amazon | Meta |
| Discovery tier | Balanced | Open weights |
| Added | Dec 3, 2024 | Jan 1, 2024 |
| Limits | ||
| Context window | 300KBest | 128K |
| Max output | 32KBest | 16.38K |
| Average output | 56 tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $0.80 | $0.02Best |
| Output | $3.20 | $0.03Best |
| Performance | ||
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 7.0Best | 6.9 |
| Coding Index | — | 5.4 |
| Math Index | 7.0Best | 4.3 |
| Capabilities | ||
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Amazon Nova Pro 1.0
- Llama 3.1 8B (decentralized)
Intelligence Index
- Amazon Nova Pro 1.07.0
- Llama 3.1 8B (decentralized)6.9
Amazon Nova Pro 1.0: Better than 9% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- Amazon Nova Pro 1.0: —
- Llama 3.1 8B (decentralized): 5.4
Math Index
Composite of the math evaluations
- Amazon Nova Pro 1.0: 7.0Top
- Llama 3.1 8B (decentralized): 4.3
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Amazon Nova Pro 1.0: 21.0%Top
- Llama 3.1 8B (decentralized): 18.0%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Amazon Nova Pro 1.0: 3.2%
- Llama 3.1 8B (decentralized): 5.3%Top
GPQA Diamond
Graduate-level science questions
- Amazon Nova Pro 1.0: 49.9%Top
- Llama 3.1 8B (decentralized): 25.9%
MMLU-Pro
Multi-subject knowledge and reasoning
- Amazon Nova Pro 1.0: 69.1%Top
- Llama 3.1 8B (decentralized): 47.6%
IFBench
Following precise output instructions
- Amazon Nova Pro 1.0: 38.1%Top
- Llama 3.1 8B (decentralized): 28.6%
Coding
LiveCodeBench
Recent competitive programming problems
- Amazon Nova Pro 1.0: 23.3%Top
- Llama 3.1 8B (decentralized): 11.6%
Math
AIME 2025
Competition mathematics, 2025 problems
- Amazon Nova Pro 1.0: 7.0%Top
- Llama 3.1 8B (decentralized): 4.3%
AIME
Competition mathematics
- Amazon Nova Pro 1.0: 10.7%Top
- Llama 3.1 8B (decentralized): 7.7%
MATH-500
Competition math problems
- Amazon Nova Pro 1.0: 78.6%Top
- Llama 3.1 8B (decentralized): 51.9%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Amazon Nova Pro 1.0: 6.1%Top
- Llama 3.1 8B (decentralized): 0.8%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Amazon Nova Pro 1.0: 14.0%
- Llama 3.1 8B (decentralized): 16.4%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Amazon Nova Pro 1.0: 21.0%Top
- Llama 3.1 8B (decentralized): 18.0%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
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.
- Prompt cache hits
- 0.0%
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": "amazon/nova-pro-v1",
"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="amazon/nova-pro-v1",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)amazon
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