openai
OpenAI: GPT-5 Pro
openai/gpt-5-pro
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
GPT-5 Pro is an OpenAI model listed in the OpenRouter catalog, which describes it as the vendor's most advanced model and reports improvements in reasoning, code quality, and user experience. The catalog lists text, image, and file inputs producing text output, a 400,000-token context window, and a knowledge cutoff of 2024-09-30. Reasoning is mandatory at high effort. Listed parameters include tools, structured outputs, seed, and verbosity controls. No independent model card was available in this source pack, so treat these as catalog-reported claims.[1]
Strengths
- Accepts text, image, and file inputs and produces text output, with a 400,000-token context window that accommodates very large prompts.[1]
- The catalog describes it as optimized for complex tasks requiring step-by-step reasoning and instruction following, with reasoning always enabled at high effort.[1]
- Supported parameters include tool use, tool choice, structured outputs, response format, seed, and verbosity, indicating broad API-level control.[1]
Limitations
- Only an OpenRouter catalog entry was available in this source pack; no independent model card was provided, so capabilities remain vendor- and catalog-reported rather than independently measured.[1]
- The catalog contains no benchmark data, so real-world performance should be validated on your own workloads before adoption.[1]
- Reasoning effort is fixed at high with no lower-effort option listed, which may limit latency and cost flexibility; the catalog also lists an expiration date of 2026-12-11.[1]
Where to use it
- Potentially a fit for multi-step reasoning and instruction-following tasks, matching the catalog's stated optimization focus; validate on representative prompts first.[1]
- Long-document or image-plus-text analysis is plausible given the multimodal file inputs and the 400,000-token context window.[1]
- Tool-calling or agentic workflows needing structured outputs and adjustable verbosity, since the catalog lists those parameters.[1]
Sources
- [1] OpenRouter catalog · OpenAI: GPT-5 ProSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
Specifications
- Model ID
- openai/gpt-5-pro
- Canonical ID
- openai/gpt-5-pro-2025-10-06
- Creator
- openai
- Added to OpenRouter
- 06.10.2025
- Context length
- 400,000
- Modality
- text+image+file->text
- Input modalities
- image, text, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $15 / out $120
- Knowledge cutoff
- 30.09.2024
- Expiration date
- 11.12.2026
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 high · efforts: high · 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 high · efforts: high · 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 | 400,000 | $15 | $120 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.