Интерфейс моделей ИИ

Schematron V2 Small

openrouter/schematron-v2-small

От openrouter · выпуск 2026-09-12

$0.050
Вход / 1M токенов
$0.230
Выход / 1M токенов
128K
Окно контекста
4K
Макс. вывод

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Возможности

✗ Tool calling✗ Рассуждение✓ Структурированный вывод✗ Вложения✓ Открытые веса✓ Управление температурой
Модальности: вход text · выход text

Model fit scores

0–100 · higher is better

These 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.

Coding23
  • Tool calling0/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents26
  • Tool calling0/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit0/15
  • Provider availability1/10
JSON / structured output79
  • Structured output / JSON mode50/50
  • Tool calling0/20
  • Temperature control10/10
  • 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.

ScenarioCostAssumption
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.

Детализация цен

Рекомендованная цена от openrouter · inference-net/schematron-v2-small

$0.050
Вход
$0.230
Выход
$0.050
Чтение из кеша

Доступна у 1 провайдеров

ПровайдерID модели провайдераВход / 1MВыход / 1MКонтекстВыпуск
OpenRouter
openrouter
inference-net/schematron-v2-small$0.050$0.230128K2026-09-12

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 openrouter. 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?

Yes. Schematron V2 Small supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

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?

Yes. Schematron V2 Small's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Schematron V2 Small?

If Schematron V2 Small doesn't fit, consider Space Bunny Alpha, Seed 1.6 Flash, Seed 2.0 Lite. 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.

More openrouter models

Capability lists this model is in

Последнее обновление:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.