google/gemma-3-4b-it vs lmstudio-community/Qwen3.8-27B-MLX-5bit

Neither wins outright: google/gemma-3-4b-it is the pick when you need structured output (JSON schema), lmstudio-community/Qwen3.8-27B-MLX-5bit when you need image output.

Key numbers

Specgoogle/gemma-3-4b-itlmstudio-community/Qwen3.8-27B-MLX-5bit
ProviderGoogleHugging Face
Input price (per 1M tokens)$0.05n/a
Output price (per 1M tokens)$0.10n/a
Blended price (3:1 input/output)$0.06n/a
Cheaper than … of all models we track85%n/a
Context window131K tokens (~197 pages)n/a
Larger context than … of all models23%n/a
Max output per response16K tokens (~12,300 words)n/a
Input typestext, imagetext
Output typestextimage
Free variantYesNo
Listed since2025-03-13n/a
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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-itlmstudio-community/Qwen3.8-27B-MLX-5bitDifference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$5.75n/a—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$7.00n/a—
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)
$7.20n/a—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$4.60n/a—
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$2.60n/a—

Capabilities side by side

Capabilitygoogle/gemma-3-4b-itlmstudio-community/Qwen3.8-27B-MLX-5bitWhat it lets you do
Tool / function calling——call your APIs and run agent loops
Structured output (JSON schema)✓ Yes—return 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—✓ Yesgenerate 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✓ 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
2026-08-06google/gemma-3-4b-it$0.05$0.10

Which should you choose?

Choose google/gemma-3-4b-it if…

  • you need structured output (JSON schema) — to return JSON that validates against your schema; lmstudio-community/Qwen3.8-27B-MLX-5bit does not advertise it
  • you need image input — to read screenshots, charts and scanned pages; lmstudio-community/Qwen3.8-27B-MLX-5bit does not advertise it
  • you need seed (reproducible sampling) — to repeat a generation for tests and evals; lmstudio-community/Qwen3.8-27B-MLX-5bit does not advertise it
  • you need log-probabilities — to read token confidence for classification and scoring; lmstudio-community/Qwen3.8-27B-MLX-5bit does not advertise it
  • you want to prototype at zero cost — a free variant is listed

Choose lmstudio-community/Qwen3.8-27B-MLX-5bit if…

  • you need image output — to generate images, not just text; google/gemma-3-4b-it does not advertise it

Frequently asked questions

Is google/gemma-3-4b-it better than lmstudio-community/Qwen3.8-27B-MLX-5bit?

Neither wins outright: google/gemma-3-4b-it is the pick when you need structured output (JSON schema), lmstudio-community/Qwen3.8-27B-MLX-5bit when you need image output. In short: google/gemma-3-4b-it when you need structured output (JSON schema), you need image input, you need seed (reproducible sampling), you need log-probabilities, you want to prototype at zero cost; lmstudio-community/Qwen3.8-27B-MLX-5bit when you need image output.

Do google/gemma-3-4b-it and lmstudio-community/Qwen3.8-27B-MLX-5bit support function calling and JSON output?

Tool calling — google/gemma-3-4b-it: not advertised, lmstudio-community/Qwen3.8-27B-MLX-5bit: not advertised. JSON-schema structured output — google/gemma-3-4b-it: yes, lmstudio-community/Qwen3.8-27B-MLX-5bit: not advertised.

Can google/gemma-3-4b-it or lmstudio-community/Qwen3.8-27B-MLX-5bit read images?

Only google/gemma-3-4b-it accepts image input; lmstudio-community/Qwen3.8-27B-MLX-5bit is text-only for input.

Is google/gemma-3-4b-it or lmstudio-community/Qwen3.8-27B-MLX-5bit 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.

Has the price of google/gemma-3-4b-it or lmstudio-community/Qwen3.8-27B-MLX-5bit changed?

google/gemma-3-4b-it: input price raised 20% ($0.04 → $0.05/1M), output price raised 20% ($0.08 → $0.10/1M) on 2026-08-06.

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 →

Compare google/gemma-3-4b-it with other models

Compare lmstudio-community/Qwen3.8-27B-MLX-5bit with other models

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