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llmazure/llm-frontier
OpenAI

Frontier reasoning model

OpenAI GPT-4.1 · llm-frontier

Most capable model for hard multi-step reasoning, math proofs, architecture design.

Executable through /v1/chat/completions PII blocked by policy Tool calling
Try in playground JSON
Price per 1M tokens
$15
$0.01 per 1k
Requests · 30d
5
new
Latency
63.0 ms
measured · declared 2500 ms
Success rate
100.0%
quality prior 0.93

Underlying model

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

Catalogue entry
OpenAI

GPT-4.1

tools

OpenAI openai/gpt-4.1

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

Input $/1M
$2.00
Output $/1M
$8.00
Context
1.0M
Max output
33K
Released
Apr 14, 2025
Modalities
imagetextfile

Cached input reads $0.50 per 1M

Traffic over 30 days

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

  • requests (peak 4)
  • failed
Tokens
0
Spend
$0
Previous window
0 req

Routed for

Domains the signal layer detected on requests that ended here.

  • Coding4 · 80%
  • Data Analysis1 · 20%

Capabilities

DomainsGeneral, Math, Coding, Legal, Medical, Finance, Data Analysis
ActionsReasoning, Planning, Code Generation, Code Review, Generation
Complexity band0.50 - 1.00
Languages*
Context window200K tokens
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.

  • Prove that the square root of two is irrational, step by step.
  • Design a multi-region event-driven architecture with exactly-once semantics and explain trade-offs.
  • Compare three approaches to consensus and analyze their failure modes.

Call it

Pin this target with model="llm-frontier", 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-frontier", "messages": [{"role": "user", "content": "Prove that the square root of two is irrational, step by step."}]}'
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-frontier",            # pin this target, or "auto" to let the router choose
    messages=[{"role": "user", "content": "Prove that the square root of two is irrational, step by step."}],
    extra_body={"models": ["llm-frontier", "auto"]},   # fall back to the router's pick if it fails
)
print(resp.model, resp.choices[0].message.content)