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CostPerPrompt

Gemma 4 31B API Pricing

Google · context window 262K · prices updated 2026-09-15

Input per 1M tokens
$0.09
Output per 1M tokens
$0.34
Cached input per 1M
$0.05
44% cheaper than fresh input

Where Gemma 4 31B sits on price

At $0.34 per million output tokens, Gemma 4 31B is a budget tier model — 6.1× cheaper than the median output price of $2.08, which puts it cheaper than 85% and pricier than 15% of the models we track. It sits 5th cheapest of the 38 Google models we track. Output costs 3.8× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
2,941,176
One full context fill
$0.0236
Cheaper than
85% of tracked models

Cached input is 44% cheaper. On an input-heavy workload you need roughly a 57% 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 4 31B

These three workloads are the ones teams actually run on a budget-priced model — a $0.34/1M 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 $257
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0001 $2.88
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0004 $132

Model your exact traffic in the API cost calculator — it preloads Gemma 4 31B with caching and batch options.

Gemma 4 31B price history

Google last raised Gemma 4 31B's output price on Aug 26, 2026, from $0.1/$0.34 to $0.09/$0.34 per 1M in/out. That is the only repricing in the 44 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Aug 2, 2026 (tracking began) $0.1 $0.34
Aug 26, 2026 $0.09 $0.34 0%

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

Gemma 4 31B vs Qwen3 235B A22B Instruct 2507

The closest-priced alternative from another vendor is Qwen3 235B A22B Instruct 2507 (Alibaba (Qwen)) — 3% more expensive on output, with $0.0025 less 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 Qwen3 235B A22B Instruct 2507 pricing →

Cheaper alternatives

More Google models

Frequently asked questions

How much does the Gemma 4 31B API cost?

Gemma 4 31B costs $0.09 per million input tokens and $0.34 per million output tokens, with cached input at $0.05 per million (44% cheaper). That works out to roughly 2,941,176 output tokens per dollar.

What does the high-volume classification workload cost on Gemma 4 31B?

High-volume classification — 200K requests/day (400 in / 20 out) costs about $0 per request and $257 per month on Gemma 4 31B. Short output, huge volume: the input price dominates the bill.

What does it cost to fill Gemma 4 31B's 262K context window?

Sending 262K of input in a single request costs $0.0236 at $0.09 per million tokens — before any output. With prompt caching that same fill drops to about $0.0131 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is Gemma 4 31B worth the price?

Gemma 4 31B is in the cheapest end of the market — cheaper than 85% 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.