openai
OpenAI: GPT-5.6 Sol (batch)
openai/gpt-5.6-sol:batch
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog lists openai/gpt-5.6-sol:batch as an OpenAI batch variant of GPT-5.6 Sol, which it positions as a flagship model. The listing reports text, image, and file inputs with text output, a very large context window, optional adjustable reasoning, tool calling, structured outputs, seed, verbosity, and response formatting. It presents the model as intended for demanding reasoning, software development, and workflows involving agents, particularly command-line and multi-step coding. These are catalog statements, not independently verified results.[1]
Strengths
- The catalog reports text, image, and file inputs with text-only output, which may suit mixed-source prompts.[1]
- A very large advertised context window can accommodate long inputs, although practical limits were not tested in the supplied evidence.[1]
- Tool selection, structured outputs, response formatting, seed, verbosity, token limits, and adjustable reasoning effort are listed as supported controls.[1]
Limitations
- Only OpenRouter catalog metadata was supplied; an independent model card was not available, so capabilities and positioning remain catalog-reported.[1]
- The source does not define the variant's batch queueing, latency, throughput, availability, license, hardware, deployment, or safety characteristics.[1]
- Catalog-reported Artificial Analysis measurements cover coding and agentic indexes but leave a general-intelligence index blank; they do not establish suitability for a specific workload.[1]
Where to use it
- Evaluate for long-context text generation over documents, images, and files when text output is sufficient.[1]
- Consider testing on software tasks that involve command-line use or multiple steps, a strength described by the catalog.[1]
- Try controlled pilots for tool-using workflows that require structured outputs or adjustable reasoning effort before production adoption.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 Sol (batch)Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...
Specifications
- Model ID
- openai/gpt-5.6-sol:batch
- Canonical ID
- openai/gpt-5.6-sol-20260709
- Creator
- openai
- Added to OpenRouter
- 09.07.2026
- 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
- 16.02.2026
- 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: optional · default medium · efforts: max, xhigh, high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | SS — top 10% of the cohort | — |
| Agents | AA — next 20% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default medium · efforts: max, xhigh, high, medium, low, none · 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
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 78.3 | SS — top 10% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 47.4 | AA — next 20% of the cohort | 13.11.2026 |
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 | $2 | $10 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.