Gemini API pricing: every model, every rate

By the aitokensai editors · Verified 2026-11-01 Sources: Gemini API pricing

Gemini's headline input price looks cheap, but output is billed at a multiple of it. The table below shows both numbers, because the output rate is what dominates real bills.

Full rate card

83 billable models in total, 21 of them text models. On those text models: 0 of 21 carry a rate verified against Google's own published pricing, the remaining 21 are gateway rates only. USD per 1M tokens, checked 2026-11-01.

On Google the Out/In column runs 4.0× to 8.3×, median 5.0×, it outweighs the input price as soon as output dominates your bill.

Across 21 priced text models the blended rate spans $0.1875 (gemini-2.0-flash-lite) to $27 (gemini-2.5-flash-deepsearch-async) per 1M tokens (a 144× spread). At 144× between its own cheapest and dearest, picking the wrong tier inside Google costs more than picking the wrong vendor.

How these rates were verified

Google publishes no USD rate card we could confirm against, so none of the 83 prices above is cross-checked with vendor documentation — every figure is a gateway rate read from the live rate config on 2026-11-01. That is the reason no discount percentage appears anywhere on this page: without a published list to compare against, a "saving" would be a number we made up. Read these as an observed snapshot of what the endpoint charges today, and treat the reason to route Google through one endpoint as access and consolidated billing rather than a discount.

What Google costs at three usage levels

Priced on gemini-2.5-flash at $0.15 in / $1.251 out per 1M tokens, with a 5:1 input-to-output ratio, roughly what an interactive workload produces.

This is the model we cover in depth for this vendor. Swap in your own token split in the calculator.

Same budget, other vendors

3 models from 3 other vendors priced within 35% of gemini-2.5-flash on a blended rate (the cheapest, the dearest and one in between). This is the horizontal check a Google rate page on its own cannot give you.

Blended comparison (input + output per 1M tokens). Price is one axis, none of these is a Google model, so treat them as candidates to test side by side at this budget rather than drop-in substitutes.

Why the output rate decides the bill

Across the 21 priced Google text models, the output rate runs from 4.0× to 8.3× the input rate, with a median of 5.0×. On Google that multiple lands on the smaller half of the token count and the larger half of the bill, because output is what a chat or agent turn actually produces.

Worked out: at a 5.0× multiple, a job whose token count is 80% input still spends 56% of its cost on the output it generates. Setting Google beside any other vendor on the input rate alone hides that.

What Google is good at

Gemini wins on long-context and multimodal work. Flash tiers are among the cheapest capable models available anywhere.

Detailed pages for Google models

The models we cover in depth, each with worked cost at three usage levels and a comparison against similarly priced alternatives.

• Gemini 2.5 Flash — $0.15 / $1.251 per 1M tokens
• Gemini 3.7 Flash — $0.375 / $1.875 per 1M tokens
• Gemini 2.5 Pro — $0.625 / $5 per 1M tokens
• Gemini 4 Argon — $1 / $5 per 1M tokens

Routing these rates into your tools

Every model above is reachable from the same OpenAI-compatible endpoint, so the rates on this page apply wherever you already work. These are the tools we have profiled end to end — Google models included:

Every one of these takes the same two values (a base URL and a key) and none of them require changing your code beyond where the client is constructed. Pointed at Google, that is the whole change. The differences that matter are in each tool's defaults, which is what each guide covers.

Other vendors

Every rate card here is built the same way, from the same price snapshot (2026-11-01), so the numbers are comparable across vendors:

Anthropic · OpenAI · DeepSeek · Alibaba · xAI · Zhipu · Moonshot · Meta · MiniMax · ByteDance

FAQ

Create free account

See all 38 models → or use the cost calculator with your own token split.