GPT-6.1 Sol API
OpenAI
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional...
About GPT-6.1 Sol
GPT-6.1 Sol is a language model developed by OpenAI. It's particularly well-suited for analyzing images, screenshots, and visual content, tackling complex, multi-step reasoning problems, orchestrating tool-using agents that call APIs and external services, grounding responses in real-time web search results, producing structured outputs for reliable data extraction, and handling large contexts of up to 1.1M tokens. Its 1.1M-token context window means you can pass in entire documents, codebases, or conversation histories without losing context.
As of Sep 30, 2026, GPT-6.1 Sol costs $0.650 per 1M input tokens and $3.25 per 1M output tokens on Qubax, versus $1.00 / $5.00 on OpenRouter (35% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $2.93. 2 independent compute providers currently serve it, so requests fail over automatically. Pay with USDC, USDT, BTC, ETH or 200+ other coins — no credit card required.
Pricing
| Token Type | Qubax | OpenRouter | You Save |
|---|---|---|---|
| Input (per 1M tokens) | $0.650 | $1.00 | 35% |
| Output (per 1M tokens) | $3.25 | $5.00 | 35% |
| Cache read (per 1M tokens) | $0.130 | — | — |
Prices per 1 million tokens. Pay with 200+ cryptocurrencies. Cache read is the discounted rate providers offer for repeated prompt prefixes.
Estimated Monthly Cost
Specifications
Use Cases
Capabilities
Quick Start
from openai import OpenAI
client = OpenAI(
base_url="https://api.qubax.ai/v1",
api_key="qbx_live_YOUR_API_KEY",
)
response = client.chat.completions.create(
model="gpt-6.1-sol",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.qubax.ai/v1",
apiKey: "qbx_live_YOUR_API_KEY",
});
const response = await client.chat.completions.create({
model: "gpt-6.1-sol",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);curl https://api.qubax.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer qbx_live_YOUR_API_KEY" \
-d '{
"model": "gpt-6.1-sol",
"messages": [{"role": "user", "content": "Hello!"}]
}'Get your API key from the dashboard.
Why use GPT-6.1 Sol on Qubax?
35% Cheaper
Up to 35% off OpenRouter prices
Pay with Crypto
200+ coins (BTC, ETH, SOL, USDT, USDC & more). No credit card needed.
OpenAI Compatible
Drop-in replacement. Works with Cline, Cursor, any tool.
More from OpenAI
Compare GPT-6.1 Sol with alternatives
| Model | Provider | Input / 1M | Output / 1M | vs GPT-6.1 Sol |
|---|---|---|---|---|
| GPT-6.1 Sol | OpenAI | $0.650 | $3.25 | — |
| Hermes 3 Llama 3.1 405b (Web) | Meta | $0.958 | $2.61 | More expensive |
| Kimi K3 | Moonshot AI | $0.526 | $2.10 | Cheaper |
| Sakana: Fugu Max | Other | $0.650 | $1.95 | Same price |
| Kimi K2.6 (Web) | Moonshot AI | $0.740 | $4.05 | More expensive |
Frequently Asked Questions
How much does the GPT-6.1 Sol API cost?
On Qubax, GPT-6.1 Sol costs $0.650 per 1M input tokens and $3.25 per 1M output tokens. This is 35% cheaper than OpenRouter's price of $1.00 per 1M input tokens.
Is the GPT-6.1 Sol API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use GPT-6.1 Sol as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.
Why is GPT-6.1 Sol cheaper on Qubax than OpenRouter?
Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 35% cheaper than OpenRouter's price for GPT-6.1 Sol.
How do I pay for GPT-6.1 Sol API usage?
Qubax uses prepaid crypto credits. Deposit USDC on the Base chain and your balance is automatically deducted as you use the API. No credit card required. Top up from $3.
What is the context window of GPT-6.1 Sol?
GPT-6.1 Sol supports a context window of 1.1M tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with GPT-6.1 Sol?
GPT-6.1 Sol is versatile enough for a wide range of applications. You can use it to analyze images and visual content, tackle complex multi-step reasoning tasks, build autonomous agents that call external tools and APIs, answer questions with real-time web search, generate structured JSON output for data pipelines, process long documents and entire codebases, and more. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.
How fast is GPT-6.1 Sol on Qubax?
GPT-6.1 Sol on Qubax supports streaming responses, so tokens begin arriving in real time as they're generated. Latency depends on the provider and prompt complexity. Qubax routes requests through an intelligent routing layer, which selects the fastest available compute provider for each request — so you get competitive latency at a lower price.
GPT-6.1 Sol vs Hermes 3 Llama 3.1 405b (Web): which should I choose?
GPT-6.1 Sol by OpenAI and Hermes 3 Llama 3.1 405b (Web) by Meta are both strong models in a similar price tier. GPT-6.1 Sol excels at complex reasoning and supports vision/image inputs. Hermes 3 Llama 3.1 405b (Web) comes from a different lab and may have different strengths depending on your workload. On Qubax, GPT-6.1 Sol starts at $0.650/1M input tokens versus Hermes 3 Llama 3.1 405b (Web)'s $0.958/1M — making GPT-6.1 Sol the more cost-effective option for high-volume workloads. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use GPT-6.1 Sol for commercial projects?
Yes. GPT-6.1 Sol on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.
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