ModelsAtlas
Explore

Google: Gemma 3 27B vs Inference.net: Schematron V2 Small

Neither wins outright: Google: Gemma 3 27B is the pick when you need tool / function calling, Inference.net: Schematron V2 Small when cost matters at scale.

Key numbers

SpecGoogle: Gemma 3 27BInference.net: Schematron V2 Small
ProviderGoogleInference.net
Input price (per 1M tokens)$0.08$0.05
Output price (per 1M tokens)$0.35$0.23
Blended price (3:1 input/output)$0.15$0.10
Cheaper than … of all models we track75%82%
Context window131K tokens (~197 pages)128K tokens (~192 pages)
Larger context than … of all models22%14%
Max output per response118K tokens (~88,500 words)4K tokens (~3,100 words)
Input typestext, imagetext
Output typestexttext
Free variantYesNo
Listed since2025-03-122026-09-12
Advertisement

What it costs for real workloads

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)Google: Gemma 3 27BInference.net: Schematron V2 SmallDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$13.00$8.35Inference.net: Schematron V2 Small saves $4.65
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$13.10$8.30Inference.net: Schematron V2 Small saves $4.80
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)
$13.80$8.76Inference.net: Schematron V2 Small saves $5.04
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$8.50$5.38Inference.net: Schematron V2 Small saves $3.12
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$4.35$2.73Inference.net: Schematron V2 Small saves $1.62

Capabilities side by side

CapabilityGoogle: Gemma 3 27BInference.net: Schematron V2 SmallWhat it lets you do
Tool / function calling✓ Yes—call your APIs and run agent loops
Structured output (JSON schema)✓ Yes✓ Yesreturn JSON that validates against your schema
Reasoning / thinking mode——spend extra tokens thinking before answering hard problems
Image input✓ Yes—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✓ Yesrepeat a generation for tests and evals
Log-probabilities✓ Yes—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

DateModelInput / 1MOutput / 1M
2026-10-18Google: Gemma 3 27B$0.08$0.35
2026-08-06Google: Gemma 3 27B$0.08$0.45
2026-03-31Google: Gemma 3 27B$0.08$0.16

Which should you choose?

Choose Google: Gemma 3 27B if…

  • you need tool / function calling — to call your APIs and run agent loops; Inference.net: Schematron V2 Small does not advertise it
  • you need image input — to read screenshots, charts and scanned pages; Inference.net: Schematron V2 Small does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; Inference.net: Schematron V2 Small does not advertise it
  • you generate long outputs in one go — up to 118K tokens (about 88,500 words) per response
  • you want to prototype at zero cost — a free variant is listed

Choose Inference.net: Schematron V2 Small if…

  • cost matters at scale — it is 36% cheaper on a typical 3:1 input/output mix ($8.35 vs $13.00 a month for 50,000 support chats)
  • you want the newer model — released 2026-09-12, 18 months after the other

Frequently asked questions

Is Google: Gemma 3 27B better than Inference.net: Schematron V2 Small?

Neither wins outright: Google: Gemma 3 27B is the pick when you need tool / function calling, Inference.net: Schematron V2 Small when cost matters at scale. In short: Google: Gemma 3 27B when you need tool / function calling, you need image input, you need log-probabilities, you generate long outputs in one go, you want to prototype at zero cost; Inference.net: Schematron V2 Small when cost matters at scale, you want the newer model.

Which is cheaper, Google: Gemma 3 27B or Inference.net: Schematron V2 Small?

Inference.net: Schematron V2 Small is cheaper: $0.10 vs $0.15 per 1M tokens at a typical 3:1 input/output mix, 36% less. For 50,000 support conversations a month that is $8.35 against $13.00.

How much do Google: Gemma 3 27B and Inference.net: Schematron V2 Small cost per million tokens?

Google: Gemma 3 27B costs $0.08 per 1M input tokens and $0.35 per 1M output tokens; Inference.net: Schematron V2 Small costs $0.05 input and $0.23 output. Output tokens are billed separately, so long answers shift the gap.

Which has the bigger context window, Google: Gemma 3 27B or Inference.net: Schematron V2 Small?

Google: Gemma 3 27B: 131K tokens, about 197 pages, against 128K (about 192 pages) for Inference.net: Schematron V2 Small.

Do Google: Gemma 3 27B and Inference.net: Schematron V2 Small support function calling and JSON output?

Tool calling — Google: Gemma 3 27B: yes, Inference.net: Schematron V2 Small: not advertised. JSON-schema structured output — Google: Gemma 3 27B: yes, Inference.net: Schematron V2 Small: yes.

Can Google: Gemma 3 27B or Inference.net: Schematron V2 Small read images?

Only Google: Gemma 3 27B accepts image input; Inference.net: Schematron V2 Small is text-only for input.

Is Google: Gemma 3 27B or Inference.net: Schematron V2 Small free to use?

Google: Gemma 3 27B has a free variant (google/gemma-3-27b-it:free). Free variants usually carry tighter rate limits.

What is the maximum output length of Google: Gemma 3 27B and Inference.net: Schematron V2 Small?

Google: Gemma 3 27B can write up to 118K tokens (about 88,500 words) per response; Inference.net: Schematron V2 Small up to 4K (about 3,100 words).

When were Google: Gemma 3 27B and Inference.net: Schematron V2 Small released?

Google: Gemma 3 27B was listed on 2025-03-12; Inference.net: Schematron V2 Small on 2026-09-12.

Has the price of Google: Gemma 3 27B or Inference.net: Schematron V2 Small changed?

Google: Gemma 3 27B: output price cut 22% ($0.45 → $0.35/1M) on 2026-10-18 (3 price changes since 2026-03-10). Inference.net: Schematron V2 Small: price unchanged since we started tracking it on 2026-09-12.

About the two models

Google

Google: Gemma 3 27B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Full Google: Gemma 3 27B specs →

Compare Google: Gemma 3 27B with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0

Compare Inference.net: Schematron V2 Small with other models

vs AI21: Jamba Large 1.7vs AionLabs: Aion 3.5vs AionLabs: Aion 3.5 Minivs AionLabs: Aion-1.0
Advertisement