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Google: Gemini 3.1 Pro Preview API

gemini-3.1-pro-preview
Playground

Gemini 3.1 Pro Preview API is a multimodal Google model with text, image, file, audio, and video input across a 1.05M context. The preview label makes validation and migration planning important. [1]

Its high-reasoning result ranks #8 with a 58.46 median and 73.36 best score. That places it directly behind Gemini 3.5 Flash high in the current logic table. [1][2]

MODALITIES
Price$1 / $6 / 1MCONTEXT1.0486M

Playground

Test Gemini 3.1 Pro Preview API with representative production prompts before using gemini-3.1-pro-preview in a live workflow.

Providers

OpenRouter lists Gemini 3.1 Pro Preview API with audio, file, image, text, and video input, text output, and a 1.048576M context window. APINEED routing and prepaid rates are identified separately. [1]

API Need50% off
Uptime
Total Context
1.0486M
Max Output
65.536K
Input
$1/ 1M
Output
$6/ 1M
Cache Read
$0.1/ 1M
Cache Write
$0.1875/ 1M

Discount

Official rates of $2 input, $12 output, $0.20 cache read, and $0.375 cache create are reduced by 50% through APINEED. The table compares official Gemini 3.1 Pro Preview API pricing with the APINEED prepaid rate.

Official
Provider baseline
Input $2/ 1MOutput $12/ 1M
Baseline

Availability

APINEED continuously monitors Gemini 3.1 Pro Preview API access and keeps requests on healthy capacity.

System statusLast 90 days
APINEED GATEWAY99.01% uptime

Gemini 3.1 Pro Preview API Benchmarks

Gemini 3.1 Pro Preview maps to the Gemini 3.1 Pro high row at #8. APINEED keeps the preview product name while preserving the source benchmark label. The complete LLM2014 logic 2026-07 table remains below, with Gemini 3.1 Pro Preview API highlighted when a current row exists. [2]

1stGPT-5.5 (xhigh)83.8077.467.57%494s30,811$25.51$29.57
2ndKimi-K3 (max)82.9174.809.78%1095s39,912$16.76$15.00
3rdClaude Opus 4.8 (xhigh)82.6266.7019.27%791s41,833$28.86$24.64
4thGPT-5.6 Sol (xhigh)81.9472.9910.92%369s17,433$14.43$29.57
5thClaude Opus 5 (xhigh)78.3871.888.29%426s26,392$18.21$24.64
6thQwen3.7-Max (xhigh)74.5666.9510.21%374s54,207$7.81$5.14
7thGLM-5.2 (max)73.6858.2720.91%890s45,683$5.12$4.00
8thGemini 3.1 Pro (high)73.3658.4620.31%214s25,905$8.58$11.83
9thGPT-5.6 Luna (xhigh)69.4951.9725.21%242s38,083$6.31$5.91
10thDeepSeek V4 Pro (max)68.0049.9726.51%1468s60,558$1.45$0.86
11thGrok 4.5 (high)67.5956.7216.08%451s43,372$7.18$5.91
12thMuse Spark 1.166.1857.2313.52%542s42,416$4.98$4.19
13thGemini 3.5 Flash (high)65.9260.398.39%188s36,372$9.03$8.87
14thDoubao-Seed-2.1-pro (high)58.6949.3515.91%2003s85,059$10.21$4.29
15thQwen3.7-Plus (high)58.5044.0924.63%1237s57,152$1.83$1.14
16thGemini 3.6 Flash (high)56.8741.7426.6%206s26,329$5.45$7.39
17thTencent Hy3 (high)54.4244.6018.04%1035s52,037$0.83$0.57
18thClaude Sonnet 5 (xhigh)51.3743.1416.02%529s44,118$12.18$9.86
19thDeepSeek V4 Flash (max)50.6236.2428.41%611s49,593$0.40$0.29
20thMiniMax-M349.1840.9416.75%985s56,467$1.90$1.20
21stClaude Opus 542.0831.7324.6%154s10,180$7.02$24.64
22ndClaude Opus 4.636.8825.7930.07%65s4,387$3.03$24.64
23rdDoubao-Seed-2.0-lite 0428 (high)35.3226.7724.21%656s26,726$0.38$0.51
24thGemini 3.5 Flash (minimal)33.2422.2233.15%44s6,189$1.54$8.87
25thLing-3.0-flash32.5320.6236.61%688s86,204$0.00$0.00
26thGemini 3.5 Flash Lite (high)30.2322.8224.51%188s18,297$1.26$2.46
27thGPT-5.5 Instant28.8717.6638.83%25s1,673$1.39$29.57
28thGemma 4 31B27.9122.0421.03%770s15,050$0.17$0.39
29thMiMo-V2.5-Pro26.9113.0051.69%478s29,443$0.71$0.86
30thQwen3.7-Plus26.1916.2338.03%314s8,692$0.28$1.14
31stStep-3.7-Flash26.1813.7447.52%258s44,912$1.46$1.16
32ndQwen3.5-27B24.9617.9827.96%451s26,391$0.51$0.69
33rdGemini 3.1 Flash Lite (high)23.7814.3039.87%82s28,351$1.17$1.48
34thClaude Sonnet 523.6410.8654.06%109s5,962$1.65$9.86
35thQwen3.7-Max22.4518.5317.46%196s6,710$0.97$5.14
36thERNIE 5.120.4915.4924.4%457s24,093$1.73$2.57
37thopenPangu-2.0-Flash19.8310.7645.74%571s28,199$0.18$0.23
38thLongCat-2.019.409.7449.79%395s14,886$0.48$1.14
39thDeepSeek V4 Flash19.3913.3731.05%63s5,286$0.04$0.29
40thMistral Medium 3.518.4413.8724.78%194s27,854$5.77$7.39
41stDoubao-Seed-2.1-pro17.499.7444.31%305s6,009$0.72$4.29
42ndGLM-5.214.8010.4329.53%23s953$0.11$4.00
43rdLing-2.6-1T13.058.3935.71%229s4,770$0.31$2.29
44thiFLYTEK Spark X212.396.2149.88%458s11,285$0.09$0.29
45thGemini 3.1 Flash Lite11.7910.2812.81%9s773$0.03$1.48
46thMistral Medium 3.510.837.1334.16%17s2,546$0.53$7.39
47thLing-2.6-flash10.074.8551.84%25s4,997$0.04$0.30

Quick Start

Connect Gemini 3.1 Pro Preview API without changing the OpenAI-style request shape. Use it for complex mixed-media analysis and tool-driven agents, but pin the exact model ID and maintain regression prompts because preview behavior can change.

1

Get your API key

Create an APINEED key for Gemini 3.1 Pro Preview API and keep it in an environment variable.

export API_NEED_API_KEY=sk-apineed-v1-...
2

Make your first request

Use gemini-3.1-pro-preview for Gemini 3.1 Pro Preview API with the APINEED API. The request shape is compatible with OpenAI chat completions, so most SDKs only need a base URL change.

TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.API_NEED_API_KEY,
  baseURL: "https://apineed.com/v1"
});

const result = await client.chat.completions.create({
  model: "gemini-3.1-pro-preview",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

console.log(result.choices[0].message.content);
3

Enable streaming and fallbacks

Add stream: true when Gemini 3.1 Pro Preview API should return server-sent events. APINEED keeps routing, provider health, and fallback handling behind the same endpoint.

curl https://apineed.com/v1/chat/completions \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.1-pro-preview",
    "stream": true,
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Gemini 3.1 Pro Preview API Endpoint

Gemini 3.1 Pro Preview API accepts chat conversations here with streaming or non-streaming text output; the supported controls are listed on this page.

POST/v1/chat/completions
Authorization
Bearer $API_NEED_API_KEY
Content-Type
application/json
HTTP-Referer
optional - your site URL, for rankings
X-Title
optional - your site name, for rankings
Model
gemini-3.1-pro-preview

Parameters

Gemini 3.1 Pro Preview API parameters currently listed for gemini-3.1-pro-preview by the OpenRouter Models API. [1]

NameTypeStatusDescription
include_reasoningbooleanSupportedIncludes reasoning content in the response when available.
max_tokensintegerSupportedLimits generated output tokens.
reasoningobjectSupportedControls reasoning behavior and token allocation.
reasoning_effortenumSupportedSelects the model reasoning effort.
response_formatobjectSupportedRequests a specific response format.
seedintegerSupportedRequests deterministic sampling when supported by the provider.
stopstring or arraySupportedStops generation at the supplied sequence.
structured_outputsbooleanSupportedEnables schema-constrained structured output.
temperaturenumberSupportedControls sampling randomness.
tool_choicestring or objectSupportedControls which tool the model may call.
toolsarraySupportedDefines tools available to the model.
top_pnumberSupportedControls nucleus sampling.

Gemini 3.1 Pro Preview API Q&A

Model-specific answers for teams comparing Gemini 3.1 Pro Preview API on capability, benchmark evidence, integration, and cost.

What is the Gemini 3.1 Pro Preview API benchmark rank?

The mapped high-reasoning row ranks #8 with a 58.46 median score.

Why does Gemini 3.1 Pro Preview API require regression tests?

Preview models can change before stable release, so teams should pin the model ID and retest representative prompts.

Which inputs can Gemini 3.1 Pro Preview API process?

It accepts text, images, files, audio, and video within a 1.05M-token context window.

What does Gemini 3.1 Pro Preview cost on APINEED?

See the live pricing table above for the current API Need input and output prices for gemini-3.1-pro-preview.

Which endpoint serves Gemini 3.1 Pro Preview API?

Call Gemini 3.1 Pro Preview API through https://apineed.com/v1/chat/completions with gemini-3.1-pro-preview as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate Gemini 3.1 Pro Preview API before release?

Evaluate Gemini 3.1 Pro Preview API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to Deploy the Gemini 3.1 Pro Preview API on apineed.com

Deploy Gemini 3.1 Pro Preview API through APINEED after validating its model-specific trade-offs above. The API key, credit, and endpoint flow stays consistent across the catalog.

1

Add credits for Gemini 3.1 Pro Preview API

Add credits on APINEED before deploying the Gemini 3.1 Pro Preview API. Pay-as-you-go billing lets usage start small and scale with production traffic.

2

Get your API key

Create an APINEED API key for the Gemini 3.1 Pro Preview API. The same key can call Gemini 3.1 Pro Preview and other AI APIs through apineed.com.

3

Set the model slug

Use gemini-3.1-pro-preview as the model value when you deploy the Gemini 3.1 Pro Preview API. Keep the APINEED base URL at https://apineed.com/v1.

4

Send a request to Gemini 3.1 Pro Preview API

Send chat completions or responses to the Gemini 3.1 Pro Preview API from Claude Code, Codex, or any custom agent. The request keeps its OpenAI-compatible shape.

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