openai
OpenAI: GPT-6.1 Sol Pro (batch)
openai/gpt-6.1-sol-pro:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenAI: GPT-6.1 Sol Pro (batch) is listed in the OpenRouter catalog as a batch-served variant of GPT-6.1 Sol with reasoning mode set to pro, which the catalog describes as targeting higher-quality responses on complex tasks while consuming substantially more tokens. Reasoning is mandatory, with configurable effort levels. The catalog reports text, image, and file inputs with text output, a 1,050,000-token context window, and support for tools, structured outputs, and seed. An independent model card was not available in this source pack, and no benchmark results are reported.[1]
Strengths
- According to the OpenRouter catalog, pro reasoning mode is intended to deliver higher-quality responses on complex tasks relative to the standard GPT-6.1 Sol serving.[1]
- The catalog reports a 1,050,000-token context window and multimodal inputs (text, image, file) with text output, suiting large or mixed-media payloads.[1]
- Listed parameters include tool calling, structured outputs, reasoning effort control, seed, and verbosity, indicating flexibility for controlled integrations.[1]
Limitations
- Evidence is catalog-only: no independent model card, benchmark results, or knowledge cutoff appear in this source pack, so real-world quality needs workload-level validation.[1]
- The catalog warns that pro mode spends far more than the standard mode, implying materially higher token usage and cost; exact figures belong to the pricing table.[1]
- Reasoning is reported as mandatory, which may limit suitability for latency- or cost-sensitive workloads.[1]
Where to use it
- Complex text tasks where extra reasoning effort may justify added token spend, per the catalog's pro-mode positioning.[1]
- Batch processing of long documents or image-plus-text inputs, leveraging the reported context window and multimodal input support.[1]
- Structured or tool-calling pipelines needing reproducibility controls such as seed and response format, as listed in supported parameters.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-6.1 Sol Pro (batch)Sources 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:batch
- 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 $1 / out $5
- 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 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.