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llmazure/llm-small
OpenAI

Small fast model

OpenAI GPT-4.1 Nano · llm-small

Cheap, fast generalist for simple chat, short answers, classification and extraction.

Executable through /v1/chat/completions PII blocked by policy Tool calling
Try in playground JSON
Price per 1M tokens
$0.20
$0.0002 per 1k
Requests · 30d
10
new
Latency
409.1 ms
measured · declared 300 ms
Success rate
100.0%
quality prior 0.55

Underlying model

Published by the vendor; the platform bills at the target's declared price.

Catalogue entry
OpenAI

GPT-4.1 Nano

tools

OpenAI openai/gpt-4.1-nano

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

Input $/1M
$0.10
Output $/1M
$0.40
Context
1.0M
Max output
33K
Released
Apr 14, 2025
Modalities
imagetextfile
Intelligence index-
Coding index11
Agentic index-

Cached input reads $0.03 per 1M

Traffic over 30 days

Requests per day this target answered on this deployment, with the cost line.

  • requests (peak 10)
  • failed
  • cost
Tokens
219
Spend
$0.0001
Previous window
0 req

Routed for

Domains the signal layer detected on requests that ended here.

  • General Chat7 · 70%
  • General2 · 20%
  • Coding1 · 10%

Capabilities

DomainsGeneral, General Chat, Customer Support
ActionsQa, Classify, Extract, Summarize, Generation, Translate
Complexity band0.00 - 0.45
Languagesen, ta, hi, es, fr
Context windowundeclared
Streamingyes

Policy constraints

Hard stops enforced before scoring.

Data boundaryPublic
Regionsanywhere
PIInot allowed
Max input tokensunlimited
Tenantsall

Representative prompts

Examples the similarity strategy matches against.

  • Hi, how are you today?
  • What is the capital of France?
  • Is this email spam? 'Congratulations you won a prize'
  • Summarize this paragraph in one sentence.

Call it

Pin this target with model="llm-small", or send a candidate list and let the router choose and fall back.

curlbash
curl https://api.opensmartroute.ai/v1/chat/completions \
  -H "Authorization: Bearer $OSR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "llm-small", "messages": [{"role": "user", "content": "Hi, how are you today?"}]}'
OpenAI SDKpython
from openai import OpenAI

client = OpenAI(base_url="https://api.opensmartroute.ai/v1", api_key="osr_live_...")
resp = client.chat.completions.create(
    model="llm-small",            # pin this target, or "auto" to let the router choose
    messages=[{"role": "user", "content": "Hi, how are you today?"}],
    extra_body={"models": ["llm-small", "auto"]},   # fall back to the router's pick if it fails
)
print(resp.model, resp.choices[0].message.content)