PE
Perplexity
Language model · United States ·Feb 2025

R1 1776

Language Open (Restricted)
671B
Parameters

About R1 1776

R1 1776 is an AI model developed by Perplexity, in the language category, released in 2025, made available as an open-weights model with 671B params.

On this page you'll find R1 1776's full specifications. Review provider pricing and benchmark scores below, or compare R1 1776 head-to-head with other language models.

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

Links

Announcement ↗ Hugging Face ↗

Run R1 1776 locally — what it takes

R1 1776 (671B) is too large to run on a single consumer or Apple machine. At Q4 its weights alone are about 376 GB — it needs a multi-GPU / datacenter setup:

  • ≈ 2× AMD Instinct MI325X
  • ≈ 3× NVIDIA B200

Lower quantization (Q3/Q2) or CPU + system-RAM offload (e.g. ktransformers) reduces the requirement at the cost of speed.

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.

Community

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Frequently asked questions

What is R1 1776? ▶

R1 1776 is an AI model developed by Perplexity, in the language category, released in 2025. It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.

Who created R1 1776? ▶

R1 1776 was developed by Perplexity and released in 2025.

Is R1 1776 open source or proprietary? ▶

R1 1776 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 R1 1776 cost? ▶

Pricing for R1 1776 depends on the provider. See the providers table on this page for the latest API rates.

How does R1 1776 perform on benchmarks? ▶

Benchmark scores for R1 1776 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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