Inception · Efficient
Mercury Coder Small
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.
| Mercury Coder SmallInceptionThis model | GPT 5.1 Codex MiniOpenAIRemove | |
|---|---|---|
| Provider | Inception | OpenAI |
| Discovery tier | Efficient | Efficient |
| Added | Jan 1, 2024 | Nov 13, 2025 |
| Limits | ||
| Context window | 32.77K | 400KBest |
| Max output | 16.38K | 128KBest |
| Average output | — | 136 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.25 | $0.25 |
| Output | $1.00Best | $2.00 |
| Cache read | — | $0.025 |
| Benchmark indexes | ||
| Intelligence Index | — | 20.4 |
| Math Index | — | 91.7 |
| Capabilities | ||
| Reasoning | No | Yes |
| Vision | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- Mercury Coder Small
- GPT 5.1 Codex Mini
Intelligence Index
- Mercury Coder Small—
- GPT 5.1 Codex Mini20.4
Indexes
Math Index
Composite of the math evaluations
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 91.7
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 66.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 18.5%
GPQA Diamond
Graduate-level science questions
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 81.3%
MMLU-Pro
Multi-subject knowledge and reasoning
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 82.0%
IFBench
Following precise output instructions
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 67.9%
Coding
LiveCodeBench
Recent competitive programming problems
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 83.6%
Math
AIME 2025
Competition mathematics, 2025 problems
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 91.7%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 33.3%
τ²-Bench Telecom
Tool use in a customer-support simulation
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 62.9%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- Mercury Coder Small: —
- GPT 5.1 Codex Mini: 66.7%
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.
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
Related models
Other Inception models, starting with the same family.