LLM Reference

GPT-2 Large

Released
2019-08-20
Last refreshed
2026-05-19
Status
Researched 16d ago

GPT-2 Large is worth evaluating for general LLM work when its provider route and context window match the workload.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 1k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
GPT-2
Released
2019-08-20
Context
1k
Parameters
774M
Architecture
Decoder Only
Knowledge cutoff
2017-12
Specialization
general
Training
finetuned
Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Azure OpenAI

About

GPT-2 Large is OpenAI's GPT-2 model. Its knowledge cutoff is 2017-12-01.

GPT-2 Large is a model in the GPT-2 family. The structured metadata tracks a 1k-token context window. This page tracks provider routes through Azure OpenAI. No headline benchmark score is tracked for GPT-2 Large yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Azure OpenAI--
ProvisionedPartial

Capabilities

No model capability flags are currently sourced.

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.

Rankings & picks(4)

Comparison and alternatives

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