GoogleReasoningReleased 13 March 2025

Gemma 3 4B pricing, context and benchmark

Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

131K
Input context
118K
Output context
$0.04
Official input
$0.05
Official output
n/a
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelGemma 3 4B
Model IDgoogle/gemma-3-4b-it
ProviderGoogle
Release date13 March 2025
StatusGenerally available
Input context131,072 tokens
Output context117,964 tokens
Official input pricing$0.04 per 1M tokens
Official output pricing$0.05 per 1M tokens
Cache read pricingNot published
Market input pricing$0.04 per 1M (cheapest route)
Market output pricing$0.05 per 1M (cheapest route)
Input modalitiestext · image
Output modalitiestext
Reasoning controlNot exposed
Tool supportText generation only
TokenizerGemini
Provider routes2 endpoints
Artificial Analysis indexNot published
SpeedNot published
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$0.04 in
Image✓ yesno$0.04 in
Audionononot supported
Videonononot supported
File (PDF)nononot supported

What is Gemma 3 4B?

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,...

Gemma 3 4B carries a 131K token window, uses the Gemini tokenizer and is served by Google. On Hoodgen it sits in the Reasoning tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released13 March 2025
PropertyGemma 3 12BGemma 3 4BChange
Released20252025Same release window
Context131K131KUnchanged
Max output118K118KUnchanged
Input price$0.05$0.04Cheaper
Output price$0.15$0.05Cheaper
Input modalitiestext, imagetext, imageUnchanged
AA indexn/an/aNewer benchmark run

Features and capabilities

{ }
Structured outputs
Schema constrained JSON with response_format, so no parse and retry loop in your code.
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Vision
Screenshots, charts and photographed documents are read at the text token rate.
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Seeds
A seed can be pinned so the same prompt is reproducible across test runs.

What can you do with Gemma 3 4B?

Debugging and root cause
Multi file failures where the model has to hold a causal chain before answering.
Architecture and planning
Design docs, migration plans and trade off analysis over long context.
Data analysis
Spreadsheets and logs read in one pass, then summarised with the numbers quoted back.
Agentic coding
Repo wide changes that need plan, edit and verify loops.

Gemma 3 4B pricing

Official pricing

List price
$0.04 / 1M in
$0.05 / 1M out
  • 131K context
  • text, image input
Cheapest route
$0.04 / 1M in
$0.05 / 1M out
  • 2 routes on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
Parasailstandard$0.04$0.05$0.0292.9%
DeepInfrastandard$0.05$0.1n/a100.0%

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0006$0.32302
List price$0.0009$0.44416

API and developer information

Model IDgoogle/gemma-3-4b-it
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersfrequency_penalty · logit_bias · logprobs · max_tokens · min_p · presence_penalty · repetition_penalty · response_format · seed · stop · structured_outputs · temperature · top_k · top_logprobs · top_p
StreamingYes, server sent events
Modality stringtext+image->text
Max prompt tokens131,072
Max completion tokens117,964
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-3-4b-it",
    "messages": [{ "role": "user", "content": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap117,964 tokens per request. Long deliverables have to be chunked.
Benchmarks not publishedArtificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.

Gemma 3 4B vs other Google models

ModelContextInput /1MOutput /1MAA indexReleased
Gemma 3 4B131K$0.04$0.05n/a2025
Gemini 3.1 Pro Preview1.05M$2$12n/a2026
Gemini 4 Argon1.05M$2$1050Oct 2026
Gemini 4 Carbon1.05M$2$10n/a2026
Gemini 3.1 Pro Preview Custom Tools1.05M$2$12n/a2026
Nano Banana Pro (Gemini 3 Pro Image)131K$2$12n/a2026

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to Google and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

Gemma 3 4B questions, answered

Gemma 3 4B is a reasoning model from Google, released 13 March 2025. Gemma 3 introduces multimodality, supporting vision-language input and text outputs.
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Start chatting with Gemma 3 4B

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