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EXISTING USERS ONLYGEMINI 2.5 PRO1M CONTEXTMULTIMODALCONTEXT CACHINGBATCH + FLEX -50%

Gemini 2.5 Pro API Pricing

Existing users only: since September 18, 2026, Google serves Gemini 2.5 Pro only to accounts that have used it before. It is not deprecated and has no shutdown date, but new projects are pointed to Gemini 3.8 Flash or Gemini 3.5 Flash-Lite. Google's stable Gemini 2.5 Pro tier for deep reasoning, coding, and large multimodal context: $1.25/M input, $10/M output, and $0.125/M cached input. Pulled directly from ai.google.dev.

Input - per 1M tokens
$1.25/M
Tier 1 <=200K prompt standard
Output - per 1M tokens
$10.00/M
Tier 2 output is $15/M standard
Cached input - 90% off
$0.125/M
Cache plus storage fee -90%
Effective - agentic blend
$1.10/M
92/8 split - 82% cache
§ 01 / TERMINAL

Run the numbers.

Live calculator pre-loaded with current Gemini 2.5 Pro standard rates. Tier 1 applies to prompts up to 200K tokens; above 200K, Google lists $2.50/M input, $0.25/M cached input, and $15/M output.

$ /mo
Workload split
Prompt cache hit rate
Tokens you can process
—
Words equivalent (English)
—
Effective rate
—
Open full calculator (all models · share URL · CSV) →
§ 02 / SCENARIOS

Real-world presets.

CODING

Coding agent iteration

$0.106/task
80k in / 8k out~941 tasks/$100
LONG CONTEXT

Document pack analysis

$0.116/pack
200k in / 5k out~865 packs/$100
MULTIMODAL

Video + docs briefing

$0.040/brief
30k in / 3k out~2,510 briefs/$100
AGENT

Research agent loop

$0.139/loop
120k in / 10k out~717 loops/$100
RAG

Large RAG synthesis

$0.169/answer
150k in / 12k out~591 answers/$100
§ 03 / TOKENIZER

Paste text. See tokens. See cost.

What's a token →
Estimate · gemini-tokenizer-estimate · ≈3.85 chars/token Auto-counts as you type

This is a chars-per-token approximation, not a real tokenizer. Actual tokens vary by language, code density, and tool-call overhead — counts are typically ±10–20% off for English prose, more for code or non-Latin scripts. For exact billing, use the vendor's official tokenizer.

Characters 351
Words 53
Tokens (estimated) 91 tokens
Cost as input · uncached $0.00011 USD
Cost as output · uncached $0.00091 USD
Cost as cached input $0.00001 USD
§ 04 / SHELF

Up against the shelf.

All models →
Model Input /M Output /M Effective blended Context Best for
Gemini 3.1 Pro Preview $2.00 cache $0.20 $12.00 $1.44 +31% 1M Google frontier preview
Gemini 3 Flash Preview $0.50 cache $0.05 $3.00 $0.361 −3.1× 1M Cheaper Gemini 3 preview
Gemini 3.1 Flash-Lite $0.25 cache $0.025 $1.50 $0.18 deprecated · −6.1× 1M High-volume Gemini 3.1
Gemini 2.5 Pro Current $1.25 cache $0.125 $10.00 $1.10 agentic 92/8 1M Stable Gemini 2.5 Pro
Gemini 2.5 Flash $0.30 cache $0.03 $2.50 $0.272 legacy · −4.0× 1M Best price-performance Gemini 2.5
Gemini 2.5 Flash-Lite $0.10 cache $0.01 $0.40 $0.0561 legacy · −20× 1M Cheapest stable Gemini 2.5
GPT-5.4 $2.50 cache $0.25 $15.00 $1.80 +64% 1.05M Affordable OpenAI frontier work
GPT-5.4 mini $0.75 cache $0.075 $4.50 $0.541 −2.0× 400K Subagents and lightweight coding

Frequently asked.

Practical Gemini 2.5 Pro pricing questions, with Google token rates separated from workload assumptions.

Q · 01 Can a new project still use Gemini 2.5 Pro? +
Not on the Gemini API. On September 18, 2026 Google limited the 2.5 models to users who have actively used them in the past. Google says they are not deprecated and will keep being served until further notice, so existing integrations keep working at the rates on this page, but a new account cannot switch them on. For new projects Google recommends Gemini 3.8 Flash or Gemini 3.5 Flash-Lite.
Q · 02 What is Gemini 2.5 Pro's standard API price? +
Google lists gemini-2.5-pro at $1.25/M input, $0.125/M cached input, and $10/M output for text, image, and video workloads. For prompts above 200K, the table lists $2.50/M input, $0.25/M cached input, and $15/M output. Audio input is listed separately at $1.25/M.
Q · 03 Does output pricing include thinking tokens? +
Yes. Google's pricing page labels output as Output price (including thinking tokens). This page treats generated reasoning and answer tokens as part of the published output rate.
Q · 04 How much do Batch and Flex cost? +
Google lists Batch and Flex at $0.625/M input and $5/M output for prompts up to 200K, and $1.25/M input and $7.50/M output above 200K. Context caching stays at the standard cache rate.
Q · 05 Is this a preview model? +
No. Google's models page lists Gemini 2.5 Pro as the stable Pro model, with a separate TTS preview model.
Q · 06 What about Google Search grounding costs? +
For Gemini 2.5 models, Google lists free daily grounding allowances and then paid grounded-prompt pricing. Tool charges are separate from token prices and should be budgeted outside token spend.
Q · 07 How accurate is the tokenizer estimate? +
The widget uses 4.0 characters per token as a Gemini planning estimate. Exact billing can differ by language, media inputs, tool calls, and how Google tokenizes multimodal content.
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Reviewed by Yaroslav Vikhariev Founder · AI//COST · Prices checked by hand against ai.google.dev · Last verified Oct 13, 2026
Methodology Report a correction More by Y.V.