Schematron V2 Small
by Inference Net · inference-net/schematron-v2-small · #35 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:22 PM UTC · refreshed hourly
Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.05
per 1M tokens
Output
$0.23
per 1M tokens
Blended (3:1)
$0.095
3 input : 1 output
Cache read
$0.05
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Schematron V2 Small with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.095 | $0.00533 | — |
| 50% | $0.095 | $0.00533 | −0% |
| 90% | $0.095 | $0.00533 | −0% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates (available for OpenAI / Anthropic / Google — not flagged for this creator). Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $9.40e-5 | $0.094 |
| Document summary | 8,000 | 1,000 | $0.00063 | $0.63 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.00196 | $1.96 |
| Long-context analysis | 150,000 | 5,000 | $0.00865 | $8.65 |
Specs
Context window
128K
tokens
Max output
4K
tokens
Input modalities
text
Tokenizer
Other