Gemini 3.1 Pro (Preview)
GoogleAll Google models
$2.00
$12.00
2026-02-19
Positioning: Flagship. Price level 3 of 4 among text models.
- Positioning
- Flagship, as the vendor describes it.Source
- Price
- Level 3 of 4 among text models ($ is the cheapest), by output price per 1M tokens: $5 to under $20.
- Vendor-stated speed
- Not shown: the vendor doesn't compare this model's speed.
Three separate signals, not a quality score.
Google's Pro-class preview — deep reasoning and precise tool use over a 1M-token context. Gemini 3.1 Pro (Preview) is a Google text model on ATP Token, billed per 1M input and output tokens.
ThinkingToolsVisionAudio
Per 1,000 short chats
$6.40
USD · 800/400 tokens
Input
$2.00
USD / 1M tokens
Output
$12.00
USD / 1M tokens
Released
Feb 19, 2026
Pricing
Pay for what you use: credits are deducted only when a request succeeds.
Input
$2.00
Output
$12.00
USD / 1M tokens
Input
$2.00
200 credits · USD / 1M tokens
Output
$12.00
1,200 credits · USD / 1M tokens
Google · Family · USD / 1M tokens
Text models from the same vendor on ATP. Bars fill up to the family's highest price.
| Model | Input | Output |
|---|---|---|
| Gemini 3.1 Pro (Preview) This pagegemini-3-1-pro-preview | $2.00 | $12.00 |
| Gemini 3.5 Flashgemini-3-5-flash | $1.50 | $9.00 |
| Gemini 3.6 Flashgemini-3-6-flash | $1.50 | $7.50 |
| Gemini 3 Flash (Preview)gemini-3-flash-preview | $0.50 | $3.00 |
| Gemini 3.5 Flash Litegemini-3-5-flash-lite | $0.30 | $2.50 |
Cost per 1,000 typical requests
A quick estimate with fixed token counts per request. No caching, no retries. Try the estimator with your own numbers.
| Workload | USD / 1,000 |
|---|---|
| Short chat turn800 / 400 | $6.40 |
| RAG answer4,000 / 500 | $14.00 |
| Agent step with tools20,000 / 1,500 | $58.00 |
Benchmarks
Vendor-reported
- Humanity's Last Exam44.4%
No tools; full set (text + MM); Thinking (High)
Google DeepMind - GPQA Diamond94.3%
No tools; Thinking (High)
Google DeepMind - SWE-Bench Verified80.6%
Single attempt; averaged over 10 runs; Thinking (High)
Google DeepMind - Terminal-Bench 2.068.5%
Terminus-2 harness; Thinking (High)
Google DeepMind
| Benchmark | Score | Source |
|---|---|---|
| Humanity's Last ExamNo tools; full set (text + MM); Thinking (High) | 44.4% | Google DeepMind |
| GPQA DiamondNo tools; Thinking (High) | 94.3% | Google DeepMind |
| SWE-Bench VerifiedSingle attempt; averaged over 10 runs; Thinking (High) | 80.6% | Google DeepMind |
| Terminal-Bench 2.0Terminus-2 harness; Thinking (High) | 68.5% | Google DeepMind |
Scores as published by each vendor, not measured by ATP. Test conditions vary, so they are not directly comparable across vendors.
Same controls on every model: project keys, per-project model access, credit budgets, and a log of every request.Set up your organization
Cost estimator
Plug in your usage to see roughly what a month costs.
0200
0100
ESTIMATE
$44.00
USD / month
4,400 credits / month
- Input$20.00
- Output$24.00
$44.00 USD / month · 4,400 credits / month
Quickstart
Keep your SDK. Point it at ATP and use a project key. Read the docs
quickstart.py · OpenAI SDK
from openai import OpenAI
client = OpenAI(
base_url="https://api.atptoken.ai/v1",
api_key="atp-•••"
)
r = client.chat.completions.create(
model="gemini-3-1-pro-preview",
messages=[{"role":"user","content":"hi"}],
)Compare with similar models
Same type and positioning, from other vendors, closest in price first.
- Kimi K3Moonshot (Kimi)Positioning: Flagship. Price level 3 of 4 among text models.$3.00 / $15.00In / out · per 1M tokens
- Qwen 3.6 MaxQwen (Alibaba)Positioning: Flagship. Price level 3 of 4 among text models.$1.29 / $7.71In / out · per 1M tokens
- Claude Opus 4.7AnthropicPositioning: Flagship. Price level 4 of 4 among text models. Vendor-stated speed: Moderate.$5.00 / $25.00In / out · per 1M tokens
FAQ
- Can Gemini 3.1 Pro (Preview) use tools, read images, or think before answering?
- Gemini 3.1 Pro (Preview) supports tool calling, vision input, extended thinking and audio.
- How is Gemini 3.1 Pro (Preview) priced?
- You pay per 1M input tokens and per 1M output tokens. You only pay when a request succeeds. $1 = 100 credits. See pricing
- Is there a newer Google model than Gemini 3.1 Pro (Preview) on ATP?
- Yes. Gemini 3.5 Flash Lite (gemini-3-5-flash-lite) and Gemini 3.6 Flash (gemini-3-6-flash) came out on Jul 21, 2026, after Gemini 3.1 Pro (Preview) (Feb 19, 2026), and are the newer Google text option on ATP. Both stay available: compare family prices on this page, then turn on the id you want for your project.
- How do I call Gemini 3.1 Pro (Preview) on ATP?
- Create a project API key and point any OpenAI-compatible SDK at https://api.atptoken.ai/v1. Set model to "gemini-3-1-pro-preview" (the API id, not the display name). Make sure the model is turned on for your project.
Get started
Start with $5. Credits never expire.
Create a project key, turn this model on, and pay only for what you use.