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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
Try in playground JSON
Price per 1M tokens
$3.00
$0.0030 per 1k
Requests · 30d
0
no traffic
Latency
900 ms
declared
Success rate
n/a
quality prior 0.75

Underlying model

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

Catalogue entry
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.

No requests yet. Route something from the playground to see usage here.
Tokens
0
Spend
$0
Previous window
0 req

Routed for

Domains the signal layer detected on requests that ended here.

No routed requests yet. Declared domains: General, Marketing, Data Analysis, Hr, Travel, Creative.

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)