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OpenReasoning Nemotron 32B

Added Aug 21, 2025Open weights

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Use in the app

OpenReasoning-Nemotron-32B is a reasoning model derived from Qwen2.5-32B-Instruct, post-trained for math, science, and code solution generation. Evaluated with up to 64K output tokens. Available in multiple sizes: 1.5B, 7B, 14B, and 32B.

  • Reasoning
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.10
Output
$0.40

Reference prices as published by the model provider. API example

Specifications

Context window
32.8K
Max output
—

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OpenReasoning Nemotron 32B compared

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OpenReasoning Nemotron 32BnvidiaThis modelNemotron 3.5 Content SafetynvidiaRemove
Providernvidianvidia
Discovery tierOpen weightsOpen weights
AddedAug 21, 2025Sep 19, 2026
Limits
Context window32.77K131.07KBest
Max output—32.77K
Average output—16 tokens
Pricing, USD per 1M tokens
Input$0.10$0.05Best
Output$0.40$0.15Best
Cache read—$0.025
Capabilities
ReasoningYesYes
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.

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": "pamanseau/OpenReasoning-Nemotron-32B",
    "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="pamanseau/OpenReasoning-Nemotron-32B",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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