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CostPerPrompt

Gemma 3 27B API Pricing

Google · context window 131K · prices updated 2026-09-15

Input per 1M tokens
$0.08
Output per 1M tokens
$0.45
Cached input per 1M
$0.04
50% cheaper than fresh input

Where Gemma 3 27B sits on price

At $0.45 per million output tokens, Gemma 3 27B is a budget tier model — 4.6× cheaper than the median output price of $2.08, which puts it cheaper than 81% and pricier than 19% of the models we track. It sits 7th cheapest of the 38 Google models we track. Output costs 5.6× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
2,222,222
One full context fill
$0.0105
Cheaper than
81% of tracked models

Cached input is 50% cheaper. On an input-heavy workload you need roughly a 50% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Gemma 3 27B

These three workloads are the ones teams actually run on a budget-priced model — a $0.45/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
High-volume classification — 200K requests/day (400 in / 20 out) Short output, huge volume: the input price dominates the bill. $0 $246
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0001 $3.23
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0005 $140

Model your exact traffic in the API cost calculator — it preloads Gemma 3 27B with caching and batch options.

Gemma 3 27B price history

Gemma 3 27B's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 6 of Google's own 38 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

Gemma 3 27B vs Codestral 2508 (batch)

The closest-priced alternative from another vendor is Codestral 2508 (batch) (Mistral) — priced within a rounding error on output, with $0.07 more per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Codestral 2508 (batch) pricing →

Cheaper alternatives

More Google models

Frequently asked questions

How much does the Gemma 3 27B API cost?

Gemma 3 27B costs $0.08 per million input tokens and $0.45 per million output tokens, with cached input at $0.04 per million (50% cheaper). That works out to roughly 2,222,222 output tokens per dollar.

What does the high-volume classification workload cost on Gemma 3 27B?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $246 per month on Gemma 3 27B. Short output, huge volume: the input price dominates the bill.

What does it cost to fill Gemma 3 27B's 131K context window?

Sending 131K of input in a single request costs $0.0105 at $0.08 per million tokens — before any output. With prompt caching that same fill drops to about $0.0052 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is Gemma 3 27B worth the price?

Gemma 3 27B is in the cheapest end of the market — cheaper than 81% of the models we track. At this price the question is not cost but capability: it is a good fit for classification, extraction, routing and bulk summarisation, and a poor fit for multi-step reasoning where a wrong answer costs more than the tokens saved.