Inception · Efficient

Mercury 3

Added Oct 19, 2026

Mercury 3 is Inception's diffusion language model for fast chat, coding, and multi-step agents. It accepts and generates text, with adjustable reasoning, parallel tool calls, structured JSON output, and a shared 1,000,000-token context window. Responses can use up to 131,072 tokens, including reasoning, within the remaining context.

Reasoning
Tools
Structured output
Parallel tools

Input: Text
Output: Text
Reasoning effort: none · low · medium · high
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.10
Output: $0.35
Cache read: $0.01

Reference prices as published by the model provider. API example

Specifications

Context window: 1M
Max output: 131.1K
Average output (7 days): 1.9K tokens; Longer than 91% of 465 models

Side by side

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Public evaluations

Benchmarks

There are no public benchmark results for Mercury 3 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: 913.7 tok/s; Faster than 99% of 247 models
Time to first token: 1.9 s; Quicker than 79% of 247 models
Prompt cache hits: 76.3%; About $0.0313 per 1M input tokens with caching
Request success (24h): 100.0%; Reliable

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.

Hourly request success · last 72 hoursLowest hour 83.3%

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.

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": "inception/mercury-3",
    "reasoning_effort": "medium",
    "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="inception/mercury-3",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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