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google/gemma-3-4b-it vs Inference.net: Schematron V2 Small

Neither wins outright: google/gemma-3-4b-it is the pick when cost matters at scale, Inference.net: Schematron V2 Small when you want the newer model.

Key numbers

Specgoogle/gemma-3-4b-itInference.net: Schematron V2 Small
ProviderGoogleInference.net
Input price (per 1M tokens)$0.04$0.05
Output price (per 1M tokens)$0.05$0.23
Blended price (3:1 input/output)$0.04$0.10
Cheaper than … of all models we track88%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 since2025-03-132026-09-12
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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-3-4b-itInference.net: Schematron V2 SmallDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$4.00$8.35google/gemma-3-4b-it saves $4.35
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$5.30$8.30google/gemma-3-4b-it saves $3.00
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)
$5.40$8.76google/gemma-3-4b-it saves $3.36
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$3.50$5.38google/gemma-3-4b-it saves $1.88
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$2.05$2.73google/gemma-3-4b-it saves $0.68

Capabilities side by side

Capabilitygoogle/gemma-3-4b-itInference.net: Schematron V2 SmallWhat it lets you do
Tool / function calling——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
2026-10-20google/gemma-3-4b-it$0.04$0.05
2026-08-06google/gemma-3-4b-it$0.05$0.10

Which should you choose?

Choose google/gemma-3-4b-it if…

  • cost matters at scale — it is 55% cheaper on a typical 3:1 input/output mix ($4.00 vs $8.35 a month for 50,000 support chats)
  • 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…

  • you want the newer model — released 2026-09-12, 18 months after the other

Frequently asked questions

Is google/gemma-3-4b-it better than Inference.net: Schematron V2 Small?

Neither wins outright: google/gemma-3-4b-it is the pick when cost matters at scale, Inference.net: Schematron V2 Small when you want the newer model. In short: google/gemma-3-4b-it when cost matters at scale, 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 you want the newer model.

Which is cheaper, google/gemma-3-4b-it or Inference.net: Schematron V2 Small?

google/gemma-3-4b-it is cheaper: $0.04 vs $0.10 per 1M tokens at a typical 3:1 input/output mix, 55% less. For 50,000 support conversations a month that is $4.00 against $8.35.

How much do google/gemma-3-4b-it and Inference.net: Schematron V2 Small cost per million tokens?

google/gemma-3-4b-it costs $0.04 per 1M input tokens and $0.05 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-3-4b-it or Inference.net: Schematron V2 Small?

google/gemma-3-4b-it: 131K tokens, about 197 pages, against 128K (about 192 pages) for Inference.net: Schematron V2 Small.

Do google/gemma-3-4b-it and Inference.net: Schematron V2 Small support function calling and JSON output?

Tool calling — google/gemma-3-4b-it: not advertised, Inference.net: Schematron V2 Small: not advertised. JSON-schema structured output — google/gemma-3-4b-it: yes, Inference.net: Schematron V2 Small: yes.

Can google/gemma-3-4b-it or Inference.net: Schematron V2 Small read images?

Only google/gemma-3-4b-it accepts image input; Inference.net: Schematron V2 Small is text-only for input.

Is google/gemma-3-4b-it or Inference.net: Schematron V2 Small free to use?

google/gemma-3-4b-it has a free variant (google/gemma-3-4b-it:free). Free variants usually carry tighter rate limits.

What is the maximum output length of google/gemma-3-4b-it and Inference.net: Schematron V2 Small?

google/gemma-3-4b-it 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-3-4b-it and Inference.net: Schematron V2 Small released?

google/gemma-3-4b-it was listed on 2025-03-13; Inference.net: Schematron V2 Small on 2026-09-12.

Has the price of google/gemma-3-4b-it or Inference.net: Schematron V2 Small changed?

google/gemma-3-4b-it: input price cut 20% ($0.05 → $0.04/1M), output price cut 50% ($0.10 → $0.05/1M) on 2026-10-20 (2 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-3-4b-it

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-3-4b-it specs →

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