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Inference.net: Schematron V2 Small

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Inference.net: Schematron V2 Small is a compact variant, chosen for high throughput and low cost rather than absolute capability. Available via inference-net. 128,000-token context. Budget pricing.

Inference.net: Schematron V2 Small is a efficient AI model from inference-net. It costs $0.050 per million input tokens and $0.230 per million output tokens (blended $0.104/M), with a 128,000-token context window.

INPUT
$0.050/M
per million input tokens
OUTPUT
$0.230/M
per million output tokens
BLENDED 70/30
$0.104/M
unchanged since 3 May
CONTEXT
128,000
tokens
What it is good at
  • Sub-second latency
  • Affordable at scale
  • Good for routing & classification
Typical use cases
  • Routing & classification
  • Bulk summarisation
  • Realtime chat UX

Benchmarks

No published benchmark scores tracked for this model yet. Frontier and reasoning models from major providers have scores; smaller models and inference-host variants typically inherit the underlying open-weights score.

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Frequently asked questions

How much does Inference.net: Schematron V2 Small cost?

Inference.net: Schematron V2 Small costs $0.050 per million input tokens and $0.230 per million output tokens, for a blended reference rate of $0.104 per million tokens.

What is Inference.net: Schematron V2 Small's context window?

Inference.net: Schematron V2 Small supports up to 128,000 tokens of context in a single request.

What is Inference.net: Schematron V2 Small best for?

Inference.net: Schematron V2 Small is well suited to Sub-second latency, Affordable at scale and Good for routing & classification.

Who makes Inference.net: Schematron V2 Small?

Inference.net: Schematron V2 Small is developed and served by inference-net.

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