google/gemma-3-4b-it vs laion/CLIP-ViT-L-14-laion2B-s32B-b82K
Neither wins outright: google/gemma-3-4b-it is the pick when you need structured output (JSON schema), laion/CLIP-ViT-L-14-laion2B-s32B-b82K when you need image output.
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-it
laion/CLIP-ViT-L-14-laion2B-s32B-b82K
Difference
Customer-support chatbot
50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens)
$5.75
n/a
—
RAG search over documents
20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens)
$7.00
n/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)
$7.20
n/a
—
Batch summarisation
10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens)
$4.60
n/a
—
Long-document analysis
500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens)
$2.60
n/a
—
Capabilities side by side
Capability
google/gemma-3-4b-it
laion/CLIP-ViT-L-14-laion2B-s32B-b82K
What 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
—
✓ Yes
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.
you need structured output (JSON schema) — to return JSON that validates against your schema; laion/CLIP-ViT-L-14-laion2B-s32B-b82K does not advertise it
you need image input — to read screenshots, charts and scanned pages; laion/CLIP-ViT-L-14-laion2B-s32B-b82K does not advertise it
you need seed (reproducible sampling) — to repeat a generation for tests and evals; laion/CLIP-ViT-L-14-laion2B-s32B-b82K does not advertise it
you want to prototype at zero cost — a free variant is listed
Choose laion/CLIP-ViT-L-14-laion2B-s32B-b82K 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 laion/CLIP-ViT-L-14-laion2B-s32B-b82K?
Neither wins outright: google/gemma-3-4b-it is the pick when you need structured output (JSON schema), laion/CLIP-ViT-L-14-laion2B-s32B-b82K 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 want to prototype at zero cost; laion/CLIP-ViT-L-14-laion2B-s32B-b82K when you need image output.
Do google/gemma-3-4b-it and laion/CLIP-ViT-L-14-laion2B-s32B-b82K support function calling and JSON output?
Tool calling — google/gemma-3-4b-it: not advertised, laion/CLIP-ViT-L-14-laion2B-s32B-b82K: not advertised. JSON-schema structured output — google/gemma-3-4b-it: yes, laion/CLIP-ViT-L-14-laion2B-s32B-b82K: not advertised.
Can google/gemma-3-4b-it or laion/CLIP-ViT-L-14-laion2B-s32B-b82K read images?
Only google/gemma-3-4b-it accepts image input; laion/CLIP-ViT-L-14-laion2B-s32B-b82K is text-only for input.
Is google/gemma-3-4b-it or laion/CLIP-ViT-L-14-laion2B-s32B-b82K 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 laion/CLIP-ViT-L-14-laion2B-s32B-b82K changed?
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,...