OpenAI
OpenAI
Language model · United States ·Dec 2021

GLIDE

Language Open (Restricted)
3.5B
Parameters

About GLIDE

GLIDE is an AI model developed by OpenAI, in the language category, released in 2021, made available as an open-weights model with 3.5B params.

On this page you'll find GLIDE's full specifications. Review provider pricing and benchmark scores below, or compare GLIDE head-to-head with other language models.

→ More models by OpenAI → All language models → AI benchmarks leaderboard

Links

Announcement ↗

Run GLIDE locally — what to buy

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Sized to what GLIDE actually needs (~8k context at Q4), not to the biggest GPU: Good = cheapest that runs it, Better = best value, Best = most headroom. Speed is a hardware estimate; anything past ~120 tok/s is shown as instant.

Best
Intel Arc B580 12GB
Consumer GPU · ~$249
~120 tok/s
Q4 · fits full context · up to 8k ctx
Runs with: ExLlamaV2, KoboldCpp, LM Studio
See full estimate →

Software support

·ExLlamaV2 ·KoboldCpp ·LM Studio ·MLX ·Ollama ·SGLang ·TensorRT-LLM ·llama.cpp ·vLLM ?KTransformers ?text-generation-webui

✓ measured · · compatible · — not supported. Informational only — speed is hardware-based.

Consumer GPU
49.7–120+ tok/s
33 options →
Apple
49.7–120+ tok/s
18 options →
Datacenter GPU
120+ tok/s
13 options →

Community

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Frequently asked questions

What is GLIDE? ▶

GLIDE is an AI model developed by OpenAI, in the language category, released in 2021. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created GLIDE? ▶

GLIDE was developed by OpenAI and released in 2021.

Is GLIDE open source or proprietary? ▶

GLIDE ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.

How much does GLIDE cost? ▶

Pricing for GLIDE depends on the provider. See the providers table on this page for the latest API rates.

How does GLIDE perform on benchmarks? ▶

Benchmark scores for GLIDE are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.

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