OrcaC2 1.0

orca/orcac2-1.0
New
VisionReasoning
by Orca · 2026-10-30

Decision-first language-vision model over a typed systemone interface: give it a state and one or more typed questions, get calibrated machine-readable verdicts with a probability and a confidence in a single forward pass. Multimodal (images in state); multiple questions answered in parallel. Served via POST /v1/systemone.

Endpoints:/v1/systemone
Inputtext + image
Outputtext
p50 TTFT347 ms
PRICE$0.0000/ per request
p50 TTFT347 ms7d
p95 TTFT806 ms7d
TRAFFIC692.9Ktokens / 7d
Get the OrcaC2 1.0 API →▶ Try in playground</> Use via API

OrcaC2-1.0 is a decision-first language-vision model over a typed systemone interface. You give it an observation (state) and one or more typed questions, and it returns calibrated, machine-readable…

What is OrcaC2-1.0?

Code samples

import os, requests

resp = requests.post(
    "https://api.orcarouter.ai/v1/systemone",
    headers={"Authorization": f"Bearer {os.environ['ORCAROUTER_API_KEY']}"},
    json={
        "model": "orca/orcac2-1.0",
        "state": "Help! My payouts have been failing for 3 days.",
        "questions": {
            "is_urgent": {"type": "noul", "instructions": "Does this convey urgency?"},
            "department": {
                "type": "choice",
                "instructions": "Which team should handle this?",
                "criteria": {"billing": "Payments, invoicing, refunds",
                             "technical": "Bugs, outages, integrations"},
            },
            "frustration": {
                "type": "score",
                "instructions": "How frustrated is the customer?",
                "criteria": ["Calm", "Frustrated", "Very angry"],
            },
        },
    },
)
print(resp.json()["answers"])

Supported parameters

  • reasoning
  • reasoning_effort

Pricing

Pricing
Per request$0.0000
CurrencyUSD
Flat fee per API call (image generation models)

Performance

last 7 days
p50 TTFT
347 ms
Output speed
3.4 tok/s
p95 TTFT
806 ms
Error rate
0.18%

Public benchmarks

pending
How Design Arena works
Source: Design Arena

Community buzz

What developers are saying this week

Hacker News0 mentions · 7d

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FAQ

How is OrcaC2 different from a chat model?
It is a decision model, not a chat model. You send an observation (state) and one or more typed questions; it returns calibrated, machine-readable verdicts — each with a probability and a confidence — in a single forward pass, with no chain-of-thought prose. It is called through the systemone endpoint, not Chat Completions.
Can it read images?
Yes — it is a language-vision model. Put images in state under the keys image / image_url / images, as a URL or a base64 data-URI, and they are read multimodally alongside the text.
Can I ask several questions at once?
Yes. Multiple typed questions in one request are answered in parallel against the same state, so you get all the verdicts in a single call.
How do I call it?
POST /v1/systemone with model orca/orcac2-1.0 and your OrcaRouter API key. The body carries the observation (state) and your typed questions; the response is a structured set of verdicts.
How is it priced?
Billed per call, in tiers by the size of the input and whether the request includes an image. See the pricing on this page for the current rates.

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Model card as data

GET /api/public/models/orca/orcac2-1.0Open
Machine-readable:/llms.txt/llms-full.txt