MA
Meta AI
Language model · United States ·Jun 2022

OPT-66B

Language Open Weights
66B
Parameters

About OPT-66B

OPT-66B is an AI model developed by Meta AI, in the language category, released in 2022, made available as an open-weights model with 66B params.

On this page you'll find OPT-66B's full specifications. Review provider pricing and benchmark scores below, or compare OPT-66B head-to-head with other language models.

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

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Run OPT-66B locally — what to buy

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Sized to what OPT-66B 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
Apple M1 Ultra 64GB
Apple · ~$3,700
~17.7 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
5.3–6.4 tok/s
2 options →
Apple
8.9–17.7 tok/s
13 options →
Datacenter GPU
18–120+ tok/s
13 options →

Community

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Frequently asked questions

What is OPT-66B? ▶

OPT-66B is an AI model developed by Meta AI, in the language category, released in 2022. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created OPT-66B? ▶

OPT-66B was developed by Meta AI and released in 2022.

Is OPT-66B open source or proprietary? ▶

OPT-66B 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 OPT-66B cost? ▶

Pricing for OPT-66B depends on the provider. See the providers table on this page for the latest API rates.

How does OPT-66B perform on benchmarks? ▶

Benchmark scores for OPT-66B 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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