Vendor

Inference Net models

2 models with the vendor's list prices per million tokens. None answers on this deployment yet - connect your own provider to route to them.

Models

0 available here

Cheapest (blended)

$0.06

Schematron V2 Turbo

Median list price

$0.08

3:1 input to output per 1M tokens

Strongest

no published benchmarks

Every Inference Net model

Newest first. Prices are the vendor's published rates per million tokens; click a model for the full specification.

Model	Released	Context	Input / 1M	Output / 1M	Intelligence	Capabilities
Schematron V2 Turboinference-net/schematron-v2-turbo	Sep 12, 2026	128K	$0.03	$0.15	-	open weights
Schematron V2 Smallinference-net/schematron-v2-small	Sep 12, 2026	128K	$0.05	$0.23	-	open weights

Frequently asked

What is the cheapest Inference Net model?: Schematron V2 Turbo at $0.03 per 1M input tokens and $0.15 per 1M output tokens (vendor list price).
Which Inference Net model has the largest context window?: Schematron V2 Turbo accepts 128K tokens of context.
How do I route to Inference Net models with OpenSmartRoute?: Declare a target in targets.yaml with metadata.model set to the catalogue id (for example inference-net/schematron-v2-turbo); the router scores it against every other target on cost, quality, latency and your policies for each request.

Route Inference Net with everything else

OpenSmartRoute picks the cheapest model that meets your quality bar per request, so a Inference Net flagship handles hard prompts while small models take the rest. Price a workload or try a routing decision live.

Cost estimator Playground Full catalogue

One of many

Inference Net answers when it is the best answer for the request - and only then.

The prices on this page are the vendor's own list prices. Behind the router they become one column in a scorecard: for every request the candidates from Inference Net are weighed against every other vendor on cost, quality prior, latency and your policy, and the trace records why the winner won. Bring your own Inference Net key or buy by the token here; the decision is the same.

Photo: RDNE Stock project

For the business

What it does for the vendor strategy.

One URL, every vendor
No vendor lock-in
Point your OpenAI-compatible client at one address; add, swap or retire providers in the catalogue without touching application code.
Every vendor side by side
89% less
Lower cost per request
On the 150-prompt benchmark the router spent 89% less than sending every prompt to the reference model, and the judged quality went up, not down.
Read the benchmark
Self-hosting is free
Open source, Apache-2.0
The router is a library, a sidecar or a control plane you can run yourself, so the exit is always open.
What is open

Will this lock us into another vendor?: No. The router is Apache-2.0 open source, your provider keys stay yours, and the API is OpenAI-compatible, so leaving is a change of base URL.
How much can we save on our LLM bill?: On the public benchmark the router saved 89% against sending everything to the reference model. Import last month's provider bill on the bill page and the estimate is computed on your own traffic before you change a line of code.
How do we compare AI gateways and routers?: The compare pages score each product against the same documented capabilities and say when the review was done; the benchmark page shows measured cost and quality, including the cases the router lost.

Model

Released

Context

Input / 1M

Output / 1M

Intelligence

Capabilities

Schematron V2 Turboinference-net/schematron-v2-turbo

Sep 12, 2026

128K

$0.03

$0.15

open weights

Schematron V2 Smallinference-net/schematron-v2-small

Sep 12, 2026

128K

$0.05

$0.23

open weights

Frequently asked

What is the cheapest Inference Net model?

Schematron V2 Turbo at $0.03 per 1M input tokens and $0.15 per 1M output tokens (vendor list price).

Which Inference Net model has the largest context window?

Schematron V2 Turbo accepts 128K tokens of context.

How do I route to Inference Net models with OpenSmartRoute?

Declare a target in targets.yaml with metadata.model set to the catalogue id (for example inference-net/schematron-v2-turbo); the router scores it against every other target on cost, quality, latency and your policies for each request.

Inference Net answers when it is the best answer for the request - and only then.

Inference Net models

Every Inference Net model

Frequently asked

Route Inference Net with everything else

Inference Net answers when it is the best answer for the request - and only then.

What it does for the vendor strategy.

No vendor lock-in

Lower cost per request

Open source, Apache-2.0

Inference Net models

Every Inference Net model

Frequently asked

Route Inference Net with everything else

Inference Net answers when it is the best answer for the request - and only then.

What it does for the vendor strategy.

No vendor lock-in

Lower cost per request

Open source, Apache-2.0