Google: Gemma 4 26B A4B API Pricing
Google: Gemma 4 26B A4B costs $0.090 per 1M input tokens and $0.300 per 1M output tokens (cache reads: $0.050). Context window: 262K. Prices verified 2026-10-21 · source
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Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $0.090 | — |
| Cache read | $0.050 | −44% |
| Output | $0.300 | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
What would Google: Gemma 4 26B A4B cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $1.92 |
| Coding agent | 5,000 | 8,000 / 2,000 | $6.60 |
| RAG pipeline | 30,000 | 4,000 / 500 | $15.30 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $4.20 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Google: Gemma 4 26B A4B
Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...
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Frequently asked questions
How much does Google: Gemma 4 26B A4B cost?
Google: Gemma 4 26B A4B costs $0.090 per 1M input tokens and $0.300 per 1M output tokens; cached input tokens cost $0.050 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
262K tokens, with up to 236K output tokens per response. That's roughly 328 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.050/1M, about 44% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 81% on a typical workload with comparable quality.
Official resources
- Google: Gemma 4 26B A4B 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.