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OpenAI: GPT-5.6 Sol API

gpt-5.6-sol
Playground

GPT-5.6 Sol API accepts file, image, and text inputs across a 1.05M context. It is the premium GPT-5.6 tier for difficult coding and multi-step reasoning; compare its current benchmark results with your own workload. [1]

LLM2014 logic 2026-08: GPT-5.6 Sol API (xhigh) ranks #2 with a 69.42 median, 78.37 best score, and 381s average time. Configurations are separate. [1][2]

MODALITIES
Price$2.5 / $15 / 1MCONTEXT1.05M

Playground

Try GPT-5.6 Sol in the API Need Playground.

Provider

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

API Need50% off
Uptime
Total Context
1.05M
Max Output
128K
Input
$2.5/ 1M
Output
$15/ 1M
Cache Read
$0.25/ 1M
Cache Write
$3.125/ 1M

Pricing

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

Official
Provider baseline
Input $5/ 1MOutput $30/ 1M
Baseline
APINEED50% off
Prepaid credits
Input $2.5/ 1MOutput $15/ 1M

Availability

Recent public performance data for this model.

API statusLive metrics
API Need gateway99.26% 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 GPT-5.6 Sol 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 gpt-5.6-sol.

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: "gpt-5.6-sol",
  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": "gpt-5.6-sol",
  "stream": true,
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ]
}'

Endpoints

Endpoints currently returned by the live pricing API.

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
gpt-5.6-sol
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
gpt-5.6-sol

Parameters

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

No verified parameter metadata is currently available.

GPT-5.6 Sol API Q&A

Model-specific answers for teams comparing GPT-5.6 Sol API on capability, benchmark evidence, integration, and cost.

How does GPT-5.6 Sol API differ from GPT-5.6 Terra and GPT-5.6 Luna?

GPT-5.6 Sol is the premium GPT-5.6 tier in this catalog and carries higher input and output rates than both GPT-5.6 Terra and GPT-5.6 Luna. Compare quality and latency using the same prompts and reasoning settings.

When should I choose GPT-5.6 Sol API over Kimi K3?

Compare file input, reasoning controls, token rates, and latency with representative prompts. The current benchmark reports each model’s own configuration; no one model is best for every workload.

Can GPT-5.6 Sol API inspect files and images?

Yes. The catalog lists file, image, and text input with text output, so one request can combine documents or visuals with written instructions.

Is GPT-5.6 Sol suitable for long agent sessions?

GPT-5.6 Sol API's 1.05M context supports large working sets, but teams should still trim repeated history because both input volume and generated reasoning affect cost.

Which endpoint serves GPT-5.6 Sol API?

Call GPT-5.6 Sol API through https://apineed.com/v1/chat/completions with gpt-5.6-sol as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.

How do I validate GPT-5.6 Sol API before release?

Evaluate GPT-5.6 Sol API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.

How to deploy GPT-5.6 Sol

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.

Use gpt-5.6-sol in your application.

More live models

GPT-5.6 Lunaopenai/gpt-5.6-lunaGPT-5.6 Terraopenai/gpt-5.6-terraGPT-5.5openai/gpt-5.5GPT-5.4openai/gpt-5.4