Model comparison

Gemini vs GPT: Pricing, Models & When to Use Each

Gemini and GPT both come as tiered families, so the useful comparison is tier against tier rather than one flagship against another. Google spans Pro, Flash and Flash-Lite; OpenAI spans GPT-5.4, GPT-5.5 and the GPT-5.6 Sol / Terra / Luna line. Here is every text model from both families on ATP, with prices, capabilities, documented context, and a calculator for the same workload on each.

Gemini models on ATP

Google
5models
Gemini 3.1 Pro (Preview), Gemini 3.5 Flash, Gemini 3.6 Flash, Gemini 3 Flash (Preview), Gemini 3.5 Flash Lite

GPT models on ATP

OpenAI
6models
GPT-5.4 Pro, GPT-5.6 Sol, GPT-5.5, GPT-5.6 Terra, GPT-5.4, GPT-5.6 Luna

Lowest Gemini price

USD
$0.30 / $2.50
gemini-3-5-flash-litein / out per 1M

Lowest GPT price

USD
$1.00 / $6.00
gpt-5.6-lunain / out per 1M
01 / Prices

Models & prices

Every Gemini and GPT model ATP serves today. Rates are USD per 1M tokens (USD 1 = 100 credits); the bar shows each model's output rate against the most expensive model on this page.

Gemini· Google

All Gemini models
Gemini 3.1 Pro (Preview)gemini-3-1-pro-preview

Input $2.00 · Output $12.00 / 1M tokens

Gemini 3.5 Flashgemini-3-5-flash

Input $1.50 · Output $9.00 / 1M tokens

Gemini 3.6 Flashgemini-3-6-flash

Input $1.50 · Output $7.50 / 1M tokens

Gemini 3 Flash (Preview)gemini-3-flash-preview

Input $0.50 · Output $3.00 / 1M tokens

Gemini 3.5 Flash Litegemini-3-5-flash-lite

Input $0.30 · Output $2.50 / 1M tokens

GPT· OpenAI

All GPT models
GPT-5.4 Progpt-5.4-pro

Input $30.00 · Output $180.00 / 1M tokens

GPT-5.6 Solgpt-5.6-sol

Input $5.00 · Output $30.00 / 1M tokens

GPT-5.5gpt-5.5

Input $5.00 · Output $30.00 / 1M tokens

GPT-5.6 Terragpt-5.6-terra

Input $2.50 · Output $15.00 / 1M tokens

GPT-5.4gpt-5.4

Input $2.50 · Output $15.00 / 1M tokens

GPT-5.6 Lunagpt-5.6-luna

Input $1.00 · Output $6.00 / 1M tokens

  • —: not published by the vendor.

See the latest numbers in the comparison tool

02 / Cost

Same workload, every model

Set the traffic once; every model on this page is priced at its current ATP price. No discounts are assumed.

Workload

USD
Presets
100,000
4,000
500
0%

Applied only to models with a cache-read price.

Monthly cost at current prices

Gemini · GPT
Monthly cost at current prices
ModelPer month
Gemini 3.5 Flash LiteGemini
$245.00Lowest on this page
Gemini 3 Flash (Preview)Gemini
$350.00
GPT-5.6 LunaGPT
$700.00
Gemini 3.6 FlashGemini
$975.00
Gemini 3.5 FlashGemini
$1,050.00
Gemini 3.1 Pro (Preview)Gemini
$1,400.00
GPT-5.6 TerraGPT
$1,750.00
GPT-5.4GPT
$1,750.00
GPT-5.6 SolGPT
$3,500.00
GPT-5.5GPT
$3,500.00
GPT-5.4 ProGPT
$21,000.00

USD prices · estimate only · the cache share applies only to models with a cache-read price

Lowest on this page: Gemini 3.5 Flash Lite $245.00

03 / Fit

When to pick which

Where each family tends to fit, based on what the vendors document. Facts beyond our prices are cited under Sources.

Pick Gemini for

  • Multimodal pipelines that mix text, images, video, audio and PDFs in one request — Google documents these inputs for Gemini 3.5 Flash and the Gemini 3 line.
  • Cost-sensitive agent loops at Flash rates. Google pitches Gemini 3 Flash as Pro-grade reasoning at Flash latency and reports 78% on SWE-bench Verified (vendor-reported).
  • Repository-scale code understanding and long documents inside one session: Google documents a 1M-token context for Gemini 3.1 Pro (Preview) and 3.5 Flash.
  • Tunable reasoning per call — Gemini 3.x exposes thinking levels (minimal to high), so one model id can serve both quick and deliberate requests.
All Gemini models

Pick GPT for

  • Coding agents and computer-use automation built around OpenAI tooling. OpenAI positions GPT-5.4 for coding agents, computer use and long-horizon tool chains, and says GPT-5.5 uses significantly fewer tokens than GPT-5.4 on the same Codex tasks.
  • Production business traffic at a mid rate: OpenAI describes GPT-5.6 Terra as GPT-5.5-competitive at roughly half the cost.
  • Frontier reasoning where retries are expensive — GPT-5.6 Sol and GPT-5.4 Pro are OpenAI's top tiers; route only the hardest calls there.
  • Very long documents with a documented number: OpenAI documents a 1,050,000-token context for GPT-5.4.
All GPT models
04 / Governance

Use both under one key

You rarely have to choose just one. On ATP both families sit behind one endpoint and one project key — so you can route each task to the model that fits and still keep one budget, one allowlist and one log.

  • One project key — spend and revocation bound to one project
  • Model allowlist — only the ids you enable can be called; others return 403
  • Project budget — credits are allocated down org → workspace → project, so the allocation is the cap
  • Per-request logs and one bill — model, key, project and credits for every call, across both vendors
two_models.py · OpenAI SDK
from openai import OpenAI

# one project key; both ids must be on the project's allowlist
client = OpenAI(base_url="https://api.atptoken.ai/v1", api_key="atp-•••")

def ask(model, prompt):
    r = client.chat.completions.create(
        model=model, messages=[{"role": "user", "content": prompt}]
    )
    return r.choices[0].message.content

draft = ask("gemini-3-5-flash", "Summarize this ticket…")
final = ask("gpt-5.5", "Review: " + draft)

# both calls: same log, same credit balance, same budget
Governance treeSample
Organization  Northwind Labs · 9,842 credits
Workspace  Product
  62%  support-bot
models: gemini-3-5-flash,
        gpt-5.5
  38%  web-app
models: gpt-5.5,
        deepseek-v4-flash
Workspace  Media lab
 100%  video-lab
limit reached
models: seedance-2-0,
        kling-v3-pro
05 / FAQ

Questions teams ask

FAQ

5
Which is cheaper, Gemini or GPT?
At ATP prices (USD per 1M tokens), Gemini runs from $0.30 / $2.50 on gemini-3-5-flash-lite to $2.00 / $12.00 on gemini-3-1-pro-preview; GPT runs from $1.00 / $6.00 on gpt-5.6-luna to $30.00 / $180.00 on gpt-5.4-pro. Which one costs less for you depends on your input/output mix and which tier you need — the calculator on this page prices the same workload on every model.
Which has the longer context window, Gemini or GPT?
Documented context windows — Gemini: Gemini 3.5 Flash 1.05M, Gemini 3.5 Flash Lite 1.05M. GPT: GPT-5.4 Pro 1.05M, GPT-5.5 1.05M, GPT-5.4 1.05M. —: not published by the vendor.
Which tiers line up against each other?
By role rather than by name: Gemini 3.1 Pro (Preview) against GPT-5.4 / GPT-5.5 for demanding work; Gemini 3.5 / 3.6 Flash against GPT-5.6 Terra for production volume; Gemini 3.5 Flash-Lite and 3 Flash (Preview) against GPT-5.6 Luna for the cheapest high-volume calls. Compare their prices in the tables above, then price your own mix in the calculator.
Can I use Gemini and GPT with one API key?
Yes. On ATP both families sit behind the same OpenAI-compatible endpoint (https://api.atptoken.ai/v1), and Anthropic-format clients can use /v1/messages. One project key calls any model on that project's allowlist; every request lands in the same per-request log and debits the same credit balance.
How do I keep a team on the models we approved?
Use the project's model allowlist: enable only the model ids you approved, and calls to any other id are refused with 403. Give the project its own credit allocation so the budget is the ceiling, and review spend per model in the per-request logs.
Get started

Try both on one key — start with USD 5.

Issue a project key, allowlist the models you want to test, and compare them on your own traffic.