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GPT-6 Sol API: Endpoint & 30% Discount

Up to 30%

GPT-6 Sol is a multimodal chat model that accepts text and images and replies in text.

Compare GPT-6 Sol alternatives (31) →

What is GPT-6 Sol?

GPT-6 Sol is a multimodal chat model that accepts text and images and replies in text, built by OpenAI and served on LLM API under the id gpt-6-sol. It is reachable over the same OpenAI-compatible endpoint as every other model in the catalogue, so switching to it is a one-line change. The prices, context window and provider routing below come straight from the live catalogue and are refreshed every week.

Can you self-host GPT-6 Sol?

No. We found no public weights for GPT-6 Sol on Hugging Face, so there is nothing to download, quantize or serve on your own GPUs: no VRAM budget, no vLLM or GGUF build to plan for. The only way to run it is over an API.

Skip the deploy — use LLM.API as your endpoint

No GPUs, no quantization trade-offs. Same model, OpenAI-compatible, up to 30% below list price.

Providers

LLM.API routes GPT-6 Sol to the providers below, with discounted effective rates versus list price.

List price by provider ($ / 1M tokens)

InputOutput
anthropic$5 in
$25 out
aws-bedrock$5 in
$25 out
aws-mantle$5 in
$25 out

Provider list prices; the LLM.API discount applies on top.

ProviderPricingContextCapabilities
azure30% offin $4000; out — per 1M tokens1.1M tokensvision, tools, streaming, reasoning, web search, JSON, structured
openai30% offin $2000; out — per 1M tokens1.1M tokensvision, tools, streaming, reasoning, web search, JSON, structured

Prices and availability from the LLMAPI catalogue, updated nightly. Last updated 24 Sept 2026.

Try this model

Test GPT-6 Sol right here — free to start.

GPT-6 Sol
Hi! Want to test the model?

Suggestions for your first prompt

Code snippet

Call GPT-6 Sol through the OpenAI-compatible API — POST /v1/chat/completions.

Switching from OpenAI? Change 2 lines.

- base_url="https://api.openai.com/v1"
- api_key="YOUR_OPENAI_KEY"
+ base_url="https://api.llmapi.ai/v1"
+ api_key="YOUR_LLMAPI_KEY"

Everything else stays the same — SDK, message format, tools, streaming. Set model to gpt-6-sol and the call runs unchanged.

bash
curl https://api.llmapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $LLMAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-6-sol",
    "messages": [
      {"role": "user", "content": "Give me three crisp launch checklist items."}
    ],
  "reasoning_effort": "none"
  }'
from openai import OpenAI

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

resp = client.chat.completions.create(
    model="gpt-6-sol",
    messages=[
        {"role": "system", "content": "You are a precise product assistant."},
        {"role": "user", "content": "Give me three crisp launch checklist items."},
    ],
    reasoning_effort="none",
)
print(resp.choices[0].message.content)
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.LLMAPI_KEY,
  baseURL: "https://api.llmapi.ai/v1",
});

const resp = await client.chat.completions.create({
  model: "gpt-6-sol",
  messages: [
    { role: "user", content: "Give me three crisp launch checklist items." },
  ],
});

console.log(resp.choices[0].message.content);
stream = client.chat.completions.create(
    model="gpt-6-sol",
    messages=[{"role": "user", "content": "Write a haiku about latency."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)
{
  "model": "gpt-6-sol",
  "messages": [
    {"role": "system", "content": "You are a precise product assistant."},
    {"role": "user", "content": "Give me three crisp launch checklist items."}
  ],
  "reasoning_effort": "none"
}

Supported endpoints & features

Base URL https://api.llmapi.ai/v1 · model ID gpt-6-sol · OpenAI-compatible.

  • POST /v1/chat/completionsChat Completions — supported
FeatureStatusHow to set it
Function calling (tools)Supportedtools, tool_choice
Parallel tool callsNot supportedparallel_tool_calls
JSON modeSupportedresponse_format: {"type": "json_object"}
Structured outputsSupportedresponse_format: {"type": "json_schema", …}
StreamingSupportedstream: true
Vision (image input)Supportedimage_url content parts
Web searchSupportedweb_search
Reasoning effortnone · low · medium · high · xhighreasoning_effort: "none"

Errors & fallback routing

CodeWhat it meansWhat to do
401Missing or invalid API key.Send Authorization: Bearer YOUR_LLMAPI_KEY and check the key is active.
429Rate limited, or the upstream provider is throttling the request.Back off and retry with jitter; the gateway also retries the request on another provider where one is available.
5xxUpstream provider error or timeout.Retry; fallback routing sends the retry to the next healthy provider for this model.

When a provider fails or throttles, the request is routed to the next provider serving this model — the ones listed in the providers table above.

Why run GPT-6 Sol on LLM.API?

  • Unified AI Routing

    Reach GPT-6 Sol and sibling models through one OpenAI-compatible endpoint.

  • Cost Control

    Production: Compare provider price points and keep spend visible as you scale GPT-6 Sol.

  • Reliability Layer

    Retry and route across configured providers when a single upstream blips.

  • Observability

    Trace prompts, tokens, and errors for GPT-6 Sol alongside the rest of your stack.

  • Drop-in SDKs

    Keep using familiar OpenAI client patterns with base URL https://api.llmapi.ai/v1.

  • Model Breadth

    Swap GPT-6 Sol for chat, media, or embedding alternatives without rewriting auth.

When to Use — When NOT to Use

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