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llm-mid · runs as gpt-oss-20b OpenAI via ollama-gpt-oss-20b
Balanced model for moderate reasoning, drafting, data analysis and marketing copy.
Published by the vendor; the platform bills at the target's declared price.
Requests per day this target answered on this deployment, with the cost line.
Domains the signal layer detected on requests that ended here.
Hard stops enforced before scoring.
Pin this target with model="llm-mid", or send a candidate list and let the router choose and fall back.
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."}]}'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)Photo: Varun Bhatheja
OpenAI openai/gpt-oss-20b
gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...
Cached input reads $0.009 per 1M · weights on Hugging Face as openai/gpt-oss-20b
Examples the similarity strategy matches against.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.
Free plan, no card. Fifteen thousand decisions a month with the full trace.