openai
OpenAI: GPT-5.6 Sol
openai/gpt-5.6-sol
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, openai/gpt-5.6-sol (canonical openai/gpt-5.6-sol-20260709) is OpenAI's flagship model in the GPT-5.6 series, described as suited to complex reasoning, coding, and agentic workflows, with particular strength in command-line and multi-step coding. It accepts text, image, and file inputs and returns text, with a roughly one-million-token context and reasoning enabled by default at medium effort across several selectable levels. An independent model card was not available in this source pack, so these capabilities are catalog-reported rather than independently verified.[1]
Strengths
- Accepts text, image, and file inputs and reports a context window of about 1.05 million tokens, suited to long documents or multi-file codebases.[1]
- Reasoning is enabled by default at medium effort, with selectable levels from none up to max, plus tool calling, structured outputs, seed, and verbosity controls.[1]
- The catalog publishes third-party Artificial Analysis index scores for coding and agentic tasks, providing some measured signal beyond the vendor description.[1]
Limitations
- Evidence comes solely from the OpenRouter catalog; no independent model card was available, so capabilities need validation on real workloads before adoption.[1]
- Output is limited to text; image or file generation is not listed among its output modalities.[1]
- The flagship positioning and task strengths come from the catalog description, and its intelligence index score is absent from the listed benchmark data.[1]
Where to use it
- Long-context document analysis or multi-file codebase work, given the large reported context window; worth piloting on representative inputs first.[1]
- Agentic, tool-using workflows, consistent with the catalog's listed tool calling and configurable reasoning controls.[1]
- Command-line and multi-step coding assistance, a strength claimed in the catalog description; confirm against your own tasks.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5.6 SolSources 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
- 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 $4.4 / out $22
- 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 | — | — | 100% |
| Amazon Bedrock | 1,050,000 | $4 | $20 | — | — | 100% |
| Azure | 1,050,000 | $4 | $20 | — | — | 100% |
| OpenAI | 1,050,000 | $4 | $20 | — | — | 100% |
| Azure | 1,050,000 | $4.4 | $22 | — | — | — |
| Amazon Bedrock | 1,050,000 | $4.4 | $22 | — | — | — |
| Azure | 1,050,000 | $4.4 | $22 | — | — | 100% |
| OpenAI | 1,050,000 | $8 | $40 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.