Atlas / Models / Google / Google: Gemini 3.1 Pro Preview (batch)

Google: Gemini 3.1 Pro Preview (batch)✓ Catalog verified

google/gemini-3.1-pro-preview:batch

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

Input price
$1.00 /1M
Output price
$6.00 /1M
Context
1.0M
Modalities
audiofileimagetext
Released
Feb 19, 2026
Tool calling
✓ Yes
Atlas signal
91/100
01

Overview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

Access: available through the official Google API. Context window: 1.0M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 7, 2026
02

Specifications

API identifiergoogle/gemini-3.1-pro-preview:batch
ProviderGoogle
Model typeMultimodal LLM
Context window1.0M catalog
Input modalitiesaudio · file · image · text · video
Output modalitiestext
ReleasedFeb 19, 2026
TokenizerGemini
ModeratedNo
Architecture modalitytext+image+file+audio+video->text
Supported parameters
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_k": null,
  "top_p": null,
  "temperature": null,
  "presence_penalty": null,
  "frequency_penalty": null,
  "repetition_penalty": null
}
03

Pricing

Live pricing components for google/gemini-3.1-pro-preview:batch as published in the catalog.

$1.00
Input /1M
$6.00
Output /1M
Per request
$0.000001
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0.000001$1.00 / 1MPer input token
Completion tokens$0.000006$6.00 / 1MPer output token
Request feeN/AN/APer request
Image fee$0.000001$0.000001Per image unit
Web search fee$0.014$0.014000Per search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$1.7Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio Processing✓ SupportedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Google: Gemini 3.1 Pro Preview (batch)
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
92signal
Math Signal (GSM8K proxy)
87signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Google: Gemini 3.1 Pro Preview (batch) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="google/gemini-3.1-pro-preview:batch",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Google: Gemini 3.1 Pro Preview (batch) cost?

$1.00 per 1M input tokens and $6.00 per 1M output tokens on the official Google API.

What is the context window of Google: Gemini 3.1 Pro Preview (batch)?

Google: Gemini 3.1 Pro Preview (batch) supports up to 1.0M tokens of context.

Does Google: Gemini 3.1 Pro Preview (batch) support tool / function calling?

Yes, Google: Gemini 3.1 Pro Preview (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Google: Gemini 3.1 Pro Preview (batch)?

Use the official Google API with the model id `google/gemini-3.1-pro-preview:batch`. See the Quick start section above for code examples.