Inception · Efficient

Mercury Coder Small

Added Jan 1, 2024

Model by Inception AI. A diffusion large language model that runs incredibly quickly (500+ tokens/second) while matching Claude 3.5 Haiku and GPT-4o-mini. 1st in speed on Copilot arena, and matching 2nd in quality.

Input: Text
Output: Text
Discovery tier: Efficient

Pricing

USD per 1M tokens

Input: $0.25
Output: $1.00

Reference prices as published by the model provider. API example

Specifications

Context window: 32.8K
Max output: 16.4K

Side by side

Mercury Coder Small compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Mercury Coder SmallInceptionThis model	ByteDance Seed 2.0 LitedoubaoRemove
Provider	Inception	doubao
Discovery tier	Efficient	Efficient
Added	Jan 1, 2024	Mar 10, 2026
Context window	32.77K	262.14KBest
Max output	16.38K	131.07KBest
Average output	—	132 tokens
Pricing, USD per 1M tokens
Input	$0.25	$0.25
Output	$1.00Best	$2.00
Capabilities
Vision	No	Yes
Structured output	No	Yes
Video input	No	Yes
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": "mercury-coder-small",
    "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="mercury-coder-small",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Inception

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