Google: Gemma 3 4B API Pricing
Google: Gemma 3 4B costs $0.040 per 1M input tokens and $0.050 per 1M output tokens (cache reads: $0.020). Context window: 131K. Prices verified 2026-10-21 · source
Alternatives to consider
26% cheaper with nearly identical quality (20.1 vs 4.8)
+5.2 quality points for 8% more
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →
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Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.040 | — |
| Cache read | $0.020 | −50% |
| Output | $0.050 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Training data ends here — newer events require retrieval or web search.
What would Google: Gemma 3 4B cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $0.52 |
| Coding agent | 5,000 | 8,000 / 2,000 | $2.10 |
| RAG pipeline | 30,000 | 4,000 / 500 | $5.55 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $1.70 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Google: 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,...
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Popular head-to-heads — see all on the comparisons index.
Frequently asked questions
How much does Google: Gemma 3 4B cost?
Google: Gemma 3 4B costs $0.040 per 1M input tokens and $0.050 per 1M output tokens; cached input tokens cost $0.020 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
131K tokens, with up to 118K output tokens per response. That's roughly 164 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.020/1M, about 50% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
Check the value chart for models with similar intelligence at lower cost.
Official resources
- Google: Gemma 3 4B on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Gemini docs → — first-party model specifications and limits.
- LMArena leaderboard → — independent human-preference rankings.
- Shred your current bill — paste a CSV and see if switching saves money.