Cookie Preferences
We use cookies to personalize content and analyze traffic. See our Cookie Policy.
GPT-6.1 Sol
Send a message to test this OpenAI-compatible chat completions model.
Complete guide to using OpenAI GPT-6.1
Explore a model presented for agentic coding, computer-use tasks, and complex professional work. The supplied product content describes GPT-6.1 Sol as an upgrade to GPT-6 Sol. For integration on ApiPass, follow the current API reference: send model ID gpt-6-sol to the chat completions endpoint.
GPT-6.1 Sol is presented as an upgrade focused on demanding software engineering, professional workflows, and computer-use tasks. The product announcement emphasizes a balance of capability and cost relative to GPT-6 Astra. Its research evaluations cover repository-level coding, questions about complex documents, multi-step business workflows, scientific tasks, and factual accuracy. Those evaluations describe the announced model; the current ApiPass request reference specifies gpt-6-sol as its model ID.
The product announcement highlights improvements on complex software-engineering tasks, including work that requires planning and execution across a codebase. Send a coding question as message content through the documented chat completions API.
The announcement discusses answering questions about complex documents and planning multi-step business work. The documented ApiPass request accepts a JSON array of messages; it does not specify a document-upload parameter.
Make a synchronous POST request to /v1/chat/completions with the required model and messages parameters. The documented response contains generated text in choices[].message.content and token counts in usage.
In the cited DeepSWE 1.1 evaluation, GPT-6.1 Sol performed complex tasks in real codebases. The announcement reports a score above GPT-6 Sol's best result at lower reasoning intensity and cost.
The announcement highlights evaluations involving complex PDF questions and end-to-end workflows across business functions. These are model evaluations, not additional file or tool parameters in the documented ApiPass endpoint.
On selected difficult prompts, the announcement reports improved factual accuracy and alignment relative to GPT-6 Sol. The reported test conditions are intentionally challenging and do not represent typical-use error rates.
Build conversational experiences that explain code, suggest debugging steps, and help plan software-engineering work.
Ask questions about information supplied in messages and request concise answers or summaries. The documented request does not include a file-upload field.
Generate step-by-step plans for support, operations, or other business processes. The documented chat endpoint returns text; it does not itself execute external tools.
The product announcement compares GPT-6.1 Sol with GPT-6 Sol and GPT-6 Astra in research evaluations. These comparisons should not be read as a guarantee about responses from a particular ApiPass request.
GPT-6.1 Sol is described as an upgrade with stronger results in coding, computer use, professional workflows, and selected factual-accuracy tests. The current ApiPass API reference specifies gpt-6-sol for requests, so use that documented ID when integrating this endpoint.
The announcement positions GPT-6.1 Sol as a lower-cost option approaching Astra on several evaluated tasks, while identifying Astra as its strongest overall frontier model. Relative benchmark costs are distinct from ApiPass API pricing.
The current ApiPass reference lists prices per 1 million tokens: $1.60 input, $8.00 output, $0.160 cache read, and $2.00 cache write. These ApiPass prices take precedence over the standard API prices quoted in the product announcement.
The ApiPass reference lists a 1,050,000-token context window and up to 128,000 output tokens for GPT-6 Sol. The documented request body for this endpoint specifies only model and messages.
The chat completion response includes usage.prompt_tokens, usage.completion_tokens, and usage.total_tokens so you can inspect token consumption for each request.
Create an ApiPass API key and send it as a Bearer token in the Authorization header. Keep the key private and reset it immediately if compromised.
POST JSON to /v1/chat/completions with model set to gpt-6-sol and messages set to an array such as [{"role":"user","content":"Reply in one concise sentence."}].
Read the generated answer from choices[].message.content, check choices[].finish_reason, and inspect usage for token counts. The documented chat completion returns a response directly; the unrelated task callback examples do not describe this workflow.
All APIs require authentication via Bearer Token.
Authorization: Bearer
Create an OpenAI-compatible chat completion with GPT-6 Sol.
The API accepts a JSON payload with the following structure:
1{
2 "model": "string",
3 "messages": [
4 {
5 "role": "user",
6 "content": "string"
7 }
8 ]
9}modelRequiredstringThe model name to use for the response.
"gpt-6-sol"
messagesRequiredjsonThe input messages or instruction for the model to respond to.
[{"role":"user","content":"Reply in one concise sentence."}]1curl -X POST "https://api.apipass.dev/v1/chat/completions" \
2 -H "Authorization: Bearer apk_67ce0e56144687dccfb628ff979333bd06022ab83e4f4032b298fb15723c85e4" \
3 -H "Content-Type: application/json" \
4 -d '{"model":"gpt-6-sol","messages":[{"role":"user","content":"Reply in one concise sentence."}]}'1{
2 "id": "chatcmpl_123456789",
3 "object": "chat.completion",
4 "created": 1760000000,
5 "model": "gpt-6-sol",
6 "choices": [
7 {
8 "index": 0,
9 "message": {
10 "role": "assistant",
11 "content": "GPT-6 Sol is ready to help with concise, high-performance reasoning."
12 },
13 "finish_reason": "stop"
14 }
15 ],
16 "usage": {
17 "prompt_tokens": 18,
18 "completion_tokens": 14,
19 "total_tokens": 32
20 }
21}
xAI
xAI
Starting from
0 credits
OpenAI
OpenAI
GPT-5.6 models shared by Codex-compatible clients and direct API callers.
Starting from
0 credits
Anthropic
Anthropic
Upgrade to Fable 5.1 for sharper, more natural responses with improved context awareness and refined writing quality.
Starting from
0 credits
OpenAI
OpenAI
GPT‑6 Astra brings together years of research and big bets across pre-training, reinforcement learning, and alignment
Starting from
0 credits
Anthropic
Anthropic
Harness Fable 5 to turn raw ideas into vivid, natural-sounding text across any creative or conversational task.
Starting from
0 credits
Anthropic
Anthropic
Deploy Opus 4.8's advanced cognitive architecture to tackle your most complex reasoning and multi-step problem-solving challenges.
Starting from
0 credits
Anthropic
Anthropic
Trust Opus 5 for deep, nuanced reasoning on your hardest analytical, coding, and research problems.
Starting from
0 credits
Anthropic
Anthropic
Choose Sonnet 5 for stronger reasoning, nuanced conversation, and reliable, safety-optimized performance across everyday tasks.
Starting from
0 credits
Anthropic
Anthropic
Starting from
0 credits
Gemini 3 Flash Preview - Fast Response Preview
Starting from
0 credits
OpenAI
OpenAI
Orchestrate autonomous AI agents with GPT-5.5 API.
Starting from
0 credits
Gemini 3 Pro Preview - Try out the latest features
Starting from
0 credits