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CostPerPrompt

Gemini 3.1 Pro Preview (batch) API Pricing

Google · context window 1M · prices updated 2026-08-23

Input per 1M tokens
$1.00
Output per 1M tokens
$6.00
Cached input per 1M
No discounted cached tier on this model

Where Gemini 3.1 Pro Preview (batch) sits on price

At $6.00 per million output tokens, Gemini 3.1 Pro Preview (batch) is a premium tier model — 2.7× the median output price of $2.25, which puts it cheaper than 30% and pricier than 70% of the models we track. It sits 29th cheapest of the 37 Google models we track. Output costs 6.0× more than input here, so anything that makes the model write less — tighter instructions, structured output, lower max_tokens — moves the bill more than trimming the prompt.

Output tokens per $1
166,667
One full context fill
$1.05
Cheaper than
30% of tracked models

What real workloads cost on Gemini 3.1 Pro Preview (batch)

These three workloads are the ones teams actually run on a premium-priced model — a $6.00/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0134 $201
Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price. $0.132 $1188
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.274 $1644

Model your exact traffic in the API cost calculator — it preloads Gemini 3.1 Pro Preview (batch) with caching and batch options.

Gemini 3.1 Pro Preview (batch) price history

Gemini 3.1 Pro Preview (batch)'s price has not moved since we began tracking it on Aug 6, 2026 — 17 days of stability in a market where 55 of the 302 models we track have repriced over the same period, including 3 of Google's own 37 models.

Change-points from our daily price snapshots (tracking since Aug 6, 2026; intraday moves between snapshots are not captured).

Gemini 3.1 Pro Preview (batch) vs Qwen3.8 2.4T A95B

The closest-priced alternative from another vendor is Qwen3.8 2.4T A95B (Alibaba (Qwen)) — priced within a rounding error on output, with $1.00 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 Qwen3.8 2.4T A95B pricing →

Cheaper alternatives

More Google models

Frequently asked questions

How much does the Gemini 3.1 Pro Preview (batch) API cost?

Gemini 3.1 Pro Preview (batch) costs $1.00 per million input tokens and $6.00 per million output tokens and no discounted cached-input tier. That works out to roughly 166,667 output tokens per dollar.

What does the support chatbot workload cost on Gemini 3.1 Pro Preview (batch)?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0134 per request and $201 per month on Gemini 3.1 Pro Preview (batch). Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill Gemini 3.1 Pro Preview (batch)'s 1M context window?

Sending 1M of input in a single request costs $1.05 at $1.00 per million tokens — before any output. There is no cached-input tier on this model, so every repeat of that context is billed at full price. This is why large context windows are cheap to advertise and expensive to actually use.

Is Gemini 3.1 Pro Preview (batch) worth the price?

Gemini 3.1 Pro Preview (batch) sits in the middle of the market (29 of 37 by price within Google). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.