Schematron V2 Small
vercel/schematron-v2-smallمن vercel · أُصدِر 2026-04-16
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding3
- Tool calling0/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents1
- Tool calling0/35
- Structured output0/25
- Reasoning0/15
- Output token limit0/15
- Provider availability1/10
JSON / structured output19
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control0/10
- Price-friendly for high-volume19/20
Cost efficiency81
- Headline price (log-scaled)76/95
- Has prompt-cache pricing5/5
Long context45
- Context window (100K → 2M)35/90
- Has published price for full window10/10
Production-readiness65
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.36 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $0.73 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.21 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.63 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $0.74 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
تفاصيل التسعير
السعر المُوصى به من vercel · inference-net/schematron-v2-small
متاح لدى 1 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| Vercel AI Gateway vercel | inference-net/schematron-v2-small | $0.050 | $0.230 | 128K | 2026-04-16 |
Frequently asked questions
How much does Schematron V2 Small cost?
Schematron V2 Small costs $0.050 per 1M input tokens and $0.230 per 1M output tokens, sourced from vercel. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Schematron V2 Small?
Schematron V2 Small has a context window of 128K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.
Does Schematron V2 Small support tool calling?
No. Schematron V2 Small does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Schematron V2 Small support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Schematron V2 Small in our data source. Verify with vercel's official documentation before relying on it in production.
Can Schematron V2 Small accept image input?
No. Schematron V2 Small only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Schematron V2 Small open-weight?
No. Schematron V2 Small is a proprietary model — only vercel (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Schematron V2 Small?
If Schematron V2 Small doesn't fit, consider Interfaze Beta, Pixel Canary, Flux Schnell. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More vercel models
- Interfaze Beta$1.50 in / $3.50 out
- Pixel CanaryUnknown pricing
- Flux SchnellUnknown pricing
- Laguna S 2.1 FreeUnknown pricing
- Laguna S 2.1$0.10 in / $0.20 out
آخر تحديث:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.