XA

xAI: Grok 4.5 API

grok-4-5
Playground

Grok 4.5 API is an xAI model with text, image, and file input across a 500K context. It supports reasoning effort, tools, and structured outputs for research and operational agents. [1]

Grok 4.5 API has no exact mapped result in LLM2014 logic 2026-08. Historical scores and scores for other versions are not presented as current results for this model. [1][2]

MODALITIES
Price$1.5 / $4.5 / 1MCONTEXT500K

Playground

Try Grok 4.5 in the API Need Playground.

Provider

Current API Need routing and live API pricing. [1]

API Need25% off
Uptime
Total Context
500K
Max Output
N/A
Input
$1.5/ 1M
Output
$4.5/ 1M
Cache Read
$0.375/ 1M
Cache Write
Route priced

Pricing

Pricing uses the current live API Need configuration for this model.

Official
Provider baseline
Input $2/ 1MOutput $6/ 1M
Baseline

Availability

Recent public performance data for this model.

API statusLive metrics
API Need gateway99.05% uptime

Benchmarks

Editorial benchmark data is shown when this model has a verified match. [2]Intelligence uses the source’s median-score ranking. Efficiency views are APINEED calculations, not official LLM2014 rankings. Test costs and reference prices are converted at ¥7 per US dollar; they are not APINEED selling prices. Missing values are N/A. These results describe the source’s tested configurations, not guaranteed APINEED endpoint performance.

1stGPT-5.5 (xhigh)80.2373.897.9%534s33,219$27.51$29.57
2ndGPT-5.6 Sol (xhigh)78.3769.4211.42%381s17,769$14.71$29.57
3rdKimi-K3 (max)75.7767.6610.7%1144s41,432$17.40$15.00
4thClaude Opus 5 (xhigh)71.2464.749.12%437s26,705$18.43$24.64
5thGLM-5.3 (max)74.4863.9114.19%1009s57,408$6.43$4.00
6thGLM-5.3-Flash (max)69.5560.5212.98%863s38,787$0.22$0.20
7thQwen3.8-Max (xhigh)64.6860.057.16%1297s65,135$9.38$5.14
8thDeepSeek V4 Pro 0813(max)70.1359.6314.97%1601s73,350$7.92$3.86
9thDeepSeek-V4-Flash-Vision-Exp (max)62.8658.107.57%974s79,420$2.86$1.29
10thGemini 3.7 Flash (high)66.6257.5613.6%131s26,596$2.75$3.70
11thGrok 4.6 (high)67.9356.4116.96%813s33,807$5.60$5.91
12thGemini 3.1 Pro (high)69.3555.8419.48%235s28,338$9.39$11.83
13thDeepSeek V4 Flash 0731 (max)66.3455.2316.75%881s74,657$2.69$1.29
14thGLM-5.2 (max)66.5354.7017.78%891s46,273$5.18$4.00
15thQwen3.8-Flash (xhigh)65.4454.4916.73%844s64,942$0.70$0.39
16thGPT-5.6 Luna (xhigh)65.9251.6221.69%247s37,885$1.25$1.18
17thQwen3.8-27B (xhigh)58.4847.6518.52%2318s73,987$3.55$1.71
18thDoubao-Seed-2.1-pro (high)55.1245.7816.94%2026s85,238$10.23$4.29
19thMuse Spark 1.2 (xhigh)57.9345.1422.08%359s47,209$5.54$4.19
20thGemini 3.7 Flash (low)53.5044.0617.64%59s10,673$1.10$3.70
21stClaude Sonnet 5 (xhigh)47.8039.5717.22%545s45,066$12.44$9.86
22ndTencent Hy3 (high)57.8939.5131.75%1076s53,214$0.85$0.57
23rdQwen3.7-Plus (high)51.3638.7424.57%1254s58,610$1.88$1.14
24thMiniMax-M343.8337.3714.74%982s57,486$1.93$1.20
25thDoubao-Seed-2.0-lite 0428 (high)34.1326.1823.29%669s27,845$0.40$0.51
26thClaude Opus 534.9424.5829.65%156s10,261$7.08$24.64
27thGemini 3.5 Flash Lite (high)29.5120.4430.74%192s17,842$1.23$2.46
28thLing-3.0-flash28.3717.0539.9%735s95,538N/AN/A
29thGemma 4 31B21.3616.0924.67%756s15,290$0.17$0.39
30thopenPangu-2.0-Pro20.0215.7521.33%645s28,215$1.64$2.07
31stQwen3.7-Plus20.8415.6325%323s8,910$0.29$1.14
32ndGPT-5.5 Instant21.7314.0935.16%28s1,712$1.42$29.57
33rdMistral Medium 3.517.2513.8719.59%200s28,129$5.82$7.39
34thStep-3.7-Flash26.1813.7447.52%282s47,180$1.53$1.16
35thMiMo-V2.5-Pro26.3113.0050.59%550s33,095$0.79$0.86
36thDots3-Note Preview18.6312.9530.49%210s28,386N/AN/A
37thERNIE 5.116.3211.3230.64%468s24,522$1.77$2.57
38thQwen3.8-27B16.4810.6135.62%192s8,914$0.43$1.71
39thopenPangu-2.0-Flash19.2410.1647.19%583s29,052$0.19$0.23
40thLongCat-2.017.619.7444.69%374s14,273$0.46$1.14
41stClaude Sonnet 516.499.6741.36%113s6,175$1.70$9.86
42ndGLM-5.212.428.0535.19%24s929$0.10$4.00
43rdDeepSeek V4 Flash 073113.577.9341.56%53s4,621$0.17$1.29
44thGemini 3.1 Flash Lite9.017.1121.09%11s707$0.03$1.48
45thDoubao-Seed-2.1-pro13.036.1752.65%319s6,948$0.83$4.29
46thMistral Medium 3.58.455.9329.82%18s2,589$0.54$7.39

Quick Start

Call Grok 4.5 with its real backend model ID.

1

Get an API key

Create an API key in the product app.

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

Send a request

Call /v1/chat/completions with model grok-4-5.

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: "grok-4-5",
  messages: [
    { role: "user", content: "Why is the sky blue?" }
  ]
});

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

Handle the response

Validate responses and errors in your application.

curl https://apineed.com/v1/chat/completions \
  -H "Authorization: Bearer $API_NEED_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "grok-4-5",
  "stream": true,
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}'

Endpoints

Endpoints currently returned by the live pricing API.

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
grok-4-5
POST/v1/responses
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
grok-4-5

Parameters

Supported parameters are shown when verified metadata is available. [1]

No verified parameter metadata is currently available.

Grok 4.5 API Q&A

Model-specific answers for teams comparing Grok 4.5 API on capability, benchmark evidence, integration, and cost.

What is the Grok 4.5 API benchmark rank?

Grok 4.5 has no exact mapped result in LLM2014 logic 2026-08. Historical scores and scores for other versions are not presented as current results for this model.

Which model value calls Grok 4.5 API on APINEED?

Use grok-4-5 as the model value even though the public page and product name use Grok 4.5.

Can Grok 4.5 API process files and images?

Yes. The model accepts text, image, and file input and returns text within a 500K context.

How much is Grok 4.5 output through APINEED?

For Grok 4.5 API, the discounted output rate is $4.50 per million tokens, 25% below the listed $6 official rate.

Which endpoint serves Grok 4.5 API?

Call Grok 4.5 API through https://apineed.com/v1/chat/completions with grok-4-5 as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate Grok 4.5 API before release?

Evaluate Grok 4.5 API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to deploy Grok 4.5

Connect the live model to your application.

1

Top up

Add usage credit in the product app.

2

Create a key

Create and securely store an API key.

3

Configure the endpoint

Send requests to /v1/chat/completions.

4

Monitor responses

Track status, latency, and errors in your application.

More live models