GPT-1
gpt
Last refreshed 2026-04-15. Next refresh: weekly.
GPT-1 has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Decision context: Coding task fit, 0 tracked provider routes, and research from 2026-01-01.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 512 context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
Cheapest output
-
No tracked output price
Provider routes
0
No provider route in seed
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-01-01
Researched 137d ago
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
GPT-1, released by OpenAI in 2018, was a groundbreaking large language model that introduced a 12-layer decoder-only transformer architecture. It featured 12 masked self-attention heads with 64-dimensional states, resulting in a total of 768 dimensions 1310. Despite its relatively modest parameter size of 117 million, GPT-1 effectively demonstrated the potential for generating human-like text, answering questions, and completing sentences 56. However, it faced limitations such as a limited context window and the requirement for significant labeled data for fine-tuning 4. Nevertheless, GPT-1 laid a crucial foundation for future models, paving the way for the development of more advanced iterations like GPT-2 and GPT-3, which expanded and improved upon its capabilities 2.
GPT-1 has a 512-token context window.
Capabilities
No model capability flags are currently sourced.
