Schematron V2 Turbo
by Inference Net · inference-net/schematron-v2-turbo · #17 cheapest of 422 paid models
Prices updated Sep 19, 2026, 6:22 PM UTC · refreshed hourly
Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$0.03
per 1M tokens
Output
$0.15
per 1M tokens
Blended (3:1)
$0.06
3 input : 1 output
Cache read
$0.03
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for Schematron V2 Turbo with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $0.06 | $0.00321 | — |
| 50% | $0.06 | $0.00321 | −0% |
| 90% | $0.06 | $0.00321 | −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 | $6.00e-5 | $0.06 |
| Document summary | 8,000 | 1,000 | $0.00039 | $0.39 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.0012 | $1.20 |
| Long-context analysis | 150,000 | 5,000 | $0.00525 | $5.25 |
Specs
Context window
128K
tokens
Max output
8K
tokens
Input modalities
text
Tokenizer
Other