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scaledown-classify-1 pricing and usage · CheaperInference

Model record / ScaleDown

scaledown-classify-1

Access scaledown-classify-1 from ScaleDown through one OpenAI-compatible API with live market-linked pricing and usage-based billing.

DecisionText inputStandard generationStreamingList price

Input / 1M tokens$0.05

Cached input / 1M tokens$0.05

Current discountList

Observed reliability

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Successful provider-reaching requests

Output speed

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Median tokens per second over sustained generations

TTFT

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p50 · p90 not available · n 0

Latency

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p50 · p90 not available · n 0

Evidence strength

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Provider: ScaleDown
Model ID: scaledown-classify-1
Type: Decision
Endpoint: /v1/decisions
Input: text
Output: text
Vision input: Not supported
Image editing: Not supported
Video input: Not supported
Reasoning: Not supported
Streaming: Supported
Context window: Not reported

Pricing history

See how much this model saves and when its recorded price has been lowest.

Time zone

scaledown-classify-1

Early data

Savings are visible now, but a best-time recommendation needs at least 12 observations across 6 different hours.

Last 24 hours

Average saved

0.0%

Last 24 hours

Cheapest time

Collecting data

Too early

Hourly coverage

4/24

4 total observations

Signal quality

Early

More history needed

Typical unit savings$0.00 / 1M input tokens$0.00 / 1M output tokens

Hover a bar for savings per token and observation counts.

Source buckets are UTC; labels are converted to UTC.

Last 24 hours

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of 329 ranked models

Last 7 days

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of 351 ranked models

Last 30 days

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of 351 ranked models

Ready when you are

Stop paying list price for tokens.

Marketplace pricing, capped at list, optimized further.

Start saving Talk to sales

POST /v1/decisions

1curl https://api.cheaperinference.com/v1/decisions \2  -H "Authorization: Bearer ci_live_YOUR_API_KEY" \3  -H "Content-Type: application/json" \4  -d '{5    "input": "I was charged twice.",6    "model": "scaledown-classify-1",7    "questions": [8      {9        "name": "refund",10        "type": "predicate",11        "instructions": "Does the customer ask for a refund?"12      }13    ]14  }'