AionLabs: Aion 3.5 Mini vs Inference.net: Schematron V2 Turbo
Neither wins outright: AionLabs: Aion 3.5 Mini is the pick when you need to fit long inputs in one request, Inference.net: Schematron V2 Turbo when cost matters at scale.
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
Workload (per month)
AionLabs: Aion 3.5 Mini
Inference.net: Schematron V2 Turbo
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$80.50
$5.25
Inference.net: Schematron V2 Turbo saves $75.25
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$98.00
$5.10
Inference.net: Schematron V2 Turbo saves $92.90
Coding / tool-using agent
2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens)
$101
$5.40
Inference.net: Schematron V2 Turbo saves $95.40
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$64.40
$3.30
Inference.net: Schematron V2 Turbo saves $61.10
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$36.40
$1.65
Inference.net: Schematron V2 Turbo saves $34.75
Capabilities side by side
Capability
AionLabs: Aion 3.5 Mini
Inference.net: Schematron V2 Turbo
What it lets you do
Tool / function calling
✓ Yes
—
call your APIs and run agent loops
Structured output (JSON schema)
✓ Yes
✓ Yes
return JSON that validates against your schema
Reasoning / thinking mode
✓ Yes
—
spend extra tokens thinking before answering hard problems
Image input
—
—
read screenshots, charts and scanned pages
Audio input
—
—
take speech or audio directly
File / PDF input
—
—
accept documents without your own parsing step
Image output
—
—
generate images, not just text
Built-in web search
—
—
answer from live web results
Seed (reproducible sampling)
—
✓ Yes
repeat a generation for tests and evals
Log-probabilities
—
—
read token confidence for classification and scoring
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
AionLabs: Aion 3.5 Mini: price unchanged since we started tracking it on 2026-09-24.
Inference.net: Schematron V2 Turbo: price unchanged since we started tracking it on 2026-09-12.
Which should you choose?
Choose AionLabs: Aion 3.5 Mini if…
you need to fit long inputs in one request — 262K tokens is roughly 393 pages, against 192
you need tool / function calling — to call your APIs and run agent loops; Inference.net: Schematron V2 Turbo does not advertise it
you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; Inference.net: Schematron V2 Turbo does not advertise it
you generate long outputs in one go — up to 33K tokens (about 24,600 words) per response
Choose Inference.net: Schematron V2 Turbo if…
cost matters at scale — it is 93% cheaper on a typical 3:1 input/output mix ($5.25 vs $80.50 a month for 50,000 support chats)
you need seed (reproducible sampling) — to repeat a generation for tests and evals; AionLabs: Aion 3.5 Mini does not advertise it
Frequently asked questions
Is AionLabs: Aion 3.5 Mini better than Inference.net: Schematron V2 Turbo?
Neither wins outright: AionLabs: Aion 3.5 Mini is the pick when you need to fit long inputs in one request, Inference.net: Schematron V2 Turbo when cost matters at scale. In short: AionLabs: Aion 3.5 Mini when you need to fit long inputs in one request, you need tool / function calling, you need reasoning / thinking mode, you generate long outputs in one go; Inference.net: Schematron V2 Turbo when cost matters at scale, you need seed (reproducible sampling).
Which is cheaper, AionLabs: Aion 3.5 Mini or Inference.net: Schematron V2 Turbo?
Inference.net: Schematron V2 Turbo is cheaper: $0.06 vs $0.87 per 1M tokens at a typical 3:1 input/output mix, 93% less. For 50,000 support conversations a month that is $5.25 against $80.50.
How much do AionLabs: Aion 3.5 Mini and Inference.net: Schematron V2 Turbo cost per million tokens?
AionLabs: Aion 3.5 Mini costs $0.70 per 1M input tokens and $1.40 per 1M output tokens; Inference.net: Schematron V2 Turbo costs $0.03 input and $0.15 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AionLabs: Aion 3.5 Mini or Inference.net: Schematron V2 Turbo?
AionLabs: Aion 3.5 Mini: 262K tokens, about 393 pages, against 128K (about 192 pages) for Inference.net: Schematron V2 Turbo.
Do AionLabs: Aion 3.5 Mini and Inference.net: Schematron V2 Turbo support function calling and JSON output?
Aion 3.5 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It is the smaller, lower-cost sibling of Aion 3.5 and uses...
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...