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llmazure/llm-mid
OpenAI

Mid-tier model

OpenAI GPT-4.1 Mini · llm-mid

Balanced model for moderate reasoning, drafting, data analysis and marketing copy.

Executable through /v1/chat/completions PII blocked by policy Tool calling
Price per 1M tokens
$3.00
$0.0030 per 1k
Requests · 30d
7
new
Latency
50.4 ms
measured · declared 900 ms
Success rate
100.0%
quality prior 0.75

Underlying model

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

OpenAI

GPT-4.1 Mini

tools

OpenAI openai/gpt-4.1-mini

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

Input $/1M
$0.40
Output $/1M
$1.60
Context
1.0M
Max output
33K
Released
Apr 14, 2025
Modalities
imagetextfile
Intelligence index-
Coding index20
Agentic index-

Cached input reads $0.10 per 1M

Traffic over 30 days

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

  • requests (peak 7)
  • failed
Tokens
0
Spend
$0
Previous window
0 req

Routed for

Domains the signal layer detected on requests that ended here.

  • Marketing3 · 60%
  • General2 · 40%

Capabilities

DomainsGeneral, Marketing, Data Analysis, Hr, Travel, Creative
ActionsGeneration, Summarize, Reasoning, Planning, Extract, Qa
Complexity band0.25 - 0.75
Languages*
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.

  • Draft a newsletter announcing our new pricing tiers.
  • Analyze this CSV of monthly sales and describe the trend.
  • Write a short story about a lighthouse keeper.

Call it

Pin this target with model="llm-mid", 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-mid", "messages": [{"role": "user", "content": "Draft a newsletter announcing our new pricing tiers."}]}'
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-mid",            # pin this target, or "auto" to let the router choose
    messages=[{"role": "user", "content": "Draft a newsletter announcing our new pricing tiers."}],
    extra_body={"models": ["llm-mid", "auto"]},   # fall back to the router's pick if it fails
)
print(resp.model, resp.choices[0].message.content)