Analysis Summary
R1 1776 from Perplexity lacks broad benchmark coverage, with only a modest intelligence score available, making it difficult to assess its strengths against current-generation models.
Without demonstrated coding, agentic, or instruction-following performance, it is best suited to simple experimentation rather than production business workloads.
Teams should evaluate newer, better-documented models before committing this one to client-facing or technical tasks.
Assessed July 29, 2026
Editorial notes
R1 1776 from Perplexity has minimal published benchmark data, indicating limited demonstrated capability versus current models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
R1 1776 from Perplexity has minimal published benchmark data, indicating limited demonstrated capability versus current models.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.3 Intelligence Index
How R1 1776 compares
R1 1776 ranks #314 of 398 AI models we track for overall intelligence. R1 1776 is currently free to use via OpenRouter.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in value corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Explore Related Models
Frequently asked questions about R1 1776
How much does R1 1776 cost?
R1 1776 is currently available for free via OpenRouter.
Who created R1 1776?
R1 1776 is developed by Perplexity and was released on February 18, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 5, 2026 8:38 pm