openai
OpenAI: GPT-6.1 Sol Pro
openai/gpt-6.1-sol-pro
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog describes openai/gpt-6.1-sol-pro as an OpenAI text-output model that accepts text, image, and file inputs and provides a 1,050,000-token context window. It is presented as the same underlying model as openai/gpt-6.1-sol, served with reasoning mode set to pro; reasoning is mandatory and enabled by default at medium effort, with lower and higher effort options. The catalog warns that pro mode spends far more, but the supplied text is truncated and an independent model card was not available.[1]
Strengths
- Catalog-reported long-context, multimodal design: a 1,050,000-token context window, text, image, and file inputs, and text-only output.[1]
- Reasoning is mandatory and enabled by default at medium effort; the catalog also lists low, high, xhigh, and max options.[1]
- The catalog lists tool calling, structured outputs, response formatting, seed, verbosity, and completion-token controls.[1]
Limitations
- Evidence is catalog-only: an independent model card was not available in this source pack, so these capabilities are reported metadata rather than verified performance.[1]
- No benchmark results were supplied, so quality, reliability, and suitability should be validated on the intended workload.[1]
- The catalog warns that pro mode spends substantially more, but the supplied excerpt is truncated before identifying the specific quantity.[1]
Where to use it
- Consider for complex text tasks where high-effort, configurable reasoning is desired, subject to workload validation.[1]
- Consider for text-answering workflows that combine prompts with image or file inputs.[1]
- Consider for applications needing tool calls or structured text outputs, after integration testing.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-6.1 Sol ProSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
Specifications
- Model ID
- openai/gpt-6.1-sol-pro
- Canonical ID
- openai/gpt-6.1-sol-pro-20260929
- Creator
- openai
- Added to OpenRouter
- 29.09.2026
- Context length
- 1,050,000
- Modality
- text+image+file->text
- Input modalities
- file, image, text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $2 / out $10
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · default medium · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: max, xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| OpenAI | 1,050,000 | $1 | $5 | — | — | — |
| Azure | 1,050,000 | $2 | $10 | — | — | 100% |
| OpenAI | 1,050,000 | $2 | $10 | — | — | 100% |
| Azure | 1,050,000 | $2.2 | $11 | — | — | — |
| Azure | 1,050,000 | $2.2 | $11 | — | — | — |
| OpenAI | 1,050,000 | $4 | $20 | — | — | — |
| OpenAI | 1,050,000 | $12 | $60 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.