GPT-6.1 Sol Pro Online | Pro Reasoning on NetRoom
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GPT-6.1 Sol Pro

Current version: 6.1 updated

The same GPT-6.1 Sol served with pro reasoning for hard tasks. 1.05M context

Category
Language
Modality
Text · Reasoning · Tool use
Context
1.05M
Released
Sep 2026
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What's new in GPT-6.1 Sol Pro

  • The same model as GPT-6.1 Sol, served in pro reasoning mode
  • Higher answer quality on complex tasks thanks to far more reasoning tokens
  • A typical request costs several times more and takes much longer than on GPT-6.1 Sol
  • Inherits the 6.1 gains: fewer factual errors, more reliable respect for restrictions
  • 1.05M-token context, up to 128K output, text, image and file input
Strengths

What it's the best tool for

  • The same GPT-6.1 Sol, served in pro reasoning mode
  • 1.05M token context, up to 128K tokens in a single reply
  • Text, images and files in one request
  • Inherits the 6.1 gains: fewer factual errors, closer adherence to explicit restrictions
  • Tool calling, schema-constrained structured output, seed and reasoning effort control
Limitations

When to reach for something else

  • Much slower than regular Sol: pro mode thinks longer
  • Burns far more reasoning tokens, so a typical request costs several times more
  • On short, unambiguous prompts it gains little over regular Sol
  • Text output only: the model does not generate images or video
Sample output

How GPT-6.1 Sol Pro responds

Prompt
Here is a day of slow-query logs from production plus the database schema. Work out why the reporting export degrades towards the evening, explain the cause step by step, and propose a fix plan with a risk estimate for each change.
GPT-6.1 Sol Pro
It is one reporting query, not the overall load. 1) orders_report joins order_items with no index on (order_id, created_at) — the plan falls back to a seq scan, and the daily row batch roughly triples by the evening. 2) The same query runs in a loop per manager: 140 calls instead of one grouped query. 3) Statistics on order_items were last refreshed eight days ago, so the planner underestimates the selection. Fix plan: start with a composite index on (order_id, created_at) — low risk, builds online. Then rewrite the loop as a single GROUP BY query — medium risk, reconcile the totals on a copy first. Touch autovacuum settings for order_items last. Checked against timestamps: the slow-query peak lands in the 18:00-20:00 window, when the export is triggered en masse.
Where teams use it

Four scenarios where it pays for itself

01
Heavy refactoring
Reading an unfamiliar codebase and justifying every change
02
Agent scenarios
Multi-step pipelines where one wrong step breaks the session
03
Document audit
Finding contradictions across hundreds of pages of contracts and reports
04
Calculations and data
Long derivations where every intermediate step matters
About model

More about GPT-6.1 Sol Pro

GPT-6.1 Sol Pro Online — the Deeper Reasoning Mode of GPT-6.1 Sol

GPT-6.1 Sol Pro is the same OpenAI model as GPT-6.1 Sol, served in the pro reasoning mode. There is no separate Pro model: the whole difference is how long the model thinks before it answers. On NetRoom it replaced GPT-6 Sol Pro, and the old link now leads here. Sol is the high-end workhorse of the GPT-6 generation — it sits below the flagship GPT-6 Astra and above the fast Luna tier. Both versions, regular and Pro, live in the same chat.

What pro mode buys you

Pro spends noticeably more reasoning tokens on every request. Where the answer depends on a dozen linked conditions — reading unfamiliar code, a long calculation chain, hunting contradictions in a document — the model cuts fewer corners for the sake of speed. The price of that is time and spend: a typical request costs several times more than on GPT-6.1 Sol and takes noticeably longer. On short, unambiguous prompts the difference is barely visible: regular Sol answers just as well, only faster. The technical specs are the same across both versions: a 1.05M-token context, up to 128K tokens in a single reply, text, image and file input, and text output.

What it can do

The model inherits everything version 6.1 brought: fewer factual errors and more reliable respect for explicit restrictions and user intent in agentic tasks. Tool calling and schema-constrained structured output are supported, so the reply can move down the pipeline without parsing free text. There is a seed for reproducibility and a reasoning effort setting when you want to tune the balance between depth and latency. Images and files travel in the same request as text: a stack-trace screenshot, a scanned contract and your question about them go out as one message.

When to pick Sol Pro over regular Sol

Pro is built for hard problems where a wrong answer is expensive: heavy refactoring, auditing long documents, multi-step agent scenarios, analysis with long derivations. For everyday work, quick chat, drafts and routine questions, regular GPT-6.1 Sol makes more sense — it replies noticeably faster and burns far fewer reasoning tokens on the same task. If the job needs the very top of the line, look at GPT-6 Astra Pro.

How to start

Sign up on NetRoom, top up your balance and pick GPT-6.1 Sol Pro from the model list. It runs right in the browser: write a prompt, attach files and images, get an answer — no extra setup.

Versions

Version history of GPT-6.1 Sol Pro

Version Date What changed
6.1 current
  • The same model as GPT-6.1 Sol, served in pro reasoning mode
  • Higher answer quality on complex tasks thanks to far more reasoning tokens
  • A typical request costs several times more and takes much longer than on GPT-6.1 Sol
  • Inherits the 6.1 gains: fewer factual errors, more reliable respect for restrictions
  • 1.05M-token context, up to 128K output, text, image and file input
6.0
  • Same weights as GPT-6 Sol, served with reasoning.mode = pro
  • 1.05M token context, up to 128K tokens in a single reply
  • More internal reasoning per step for higher quality on hard tasks
  • Text, image and file input, text-only output
  • Tool calling, JSON-schema structured outputs and seed
5.6
  • 1.05M token context
  • GPT-5.6 flagship with reasoning.mode pro
  • Higher quality on complex tasks than base Sol

Use GPT-6.1 Sol Pro via the API

The same engine, straight from your code: one key and one balance for text, images, video and sound. Pay only for the requests you make.

curl
curl https://netroom.ai/api/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-6.1-sol-pro", "messages": [{"role": "user", "content": "Hello"}]}'

The format is OpenAI SDK compatible — point base_url at https://netroom.ai/api/v1 and use your NetRoom key.

The model id is already in the example. The full parameter reference and prices live in GET /api/v1/models and in the docs.

API documentation Get an API key

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