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  4. R1 1776
open sourcellm

R1 1776

Frontier reasoning AI without censorship — DeepSeek R1 with Western post-training

Developed by Perplexity AI

Try Model
671B total / 37B active (MoE)Params
YesAPI
stableStability
R1 1776Version
MITLicense
PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
Solve step by step: A pharmaceutical company can produce 50,000 units monthly at $12/unit fixed cost and $4/unit variable cost. They sell at $25/unit but production above 30K requires overtime adding $3/unit variable cost. What production level maximizes profit?

Model Output

model response
<think>Let me analyze profit per unit at each production level. For units 1-30K: profit = $25 - $12 - $4 = $9/unit. For units 30K-50K: profit = $25 - $12 - $4 - $3 = $6/unit. Total profit at 50K: (30000 × $9) + (20000 × $6) = $270K + $120K = $390K. At 30K: 30000 × $9 = $270K. So producing 50K maximizes profit.</think> Maximum profit is achieved at full capacity (50,000 units/month) with $390,000 monthly profit. Producing the additional 20K overtime units still adds $6 profit each, so it's worth doing.

Examples

Real-World Applications

  • Scientific reasoning
  • mathematical problems
  • complex code
  • geopolitical analysis
  • journalism research
  • academic review
  • unbiased educational content.

Docs

Model Intelligence & Architecture

What is R1 1776?

R1 1776 is an uncensored variant of DeepSeek R1 developed by Perplexity AI and released in February 2025. Named after the year of American independence, R1 1776 was post-trained by Perplexity to remove the topical restrictions present in the original DeepSeek R1 while preserving its frontier-class reasoning capabilities.

It's released under the MIT license, making it 100% free for any commercial use.

Why R1 1776 Is Trending in 2026

R1 1776 sparked massive interest in 2025 by combining frontier reasoning quality (rivaling OpenAI o1) with uncensored Western-style answers. It became a go-to model for researchers, journalists, and developers who needed objective answers across politically and culturally sensitive topics without geographic-specific filtering.

Key Features and Capabilities

R1 1776 inherits all DeepSeek R1 capabilities: chain-of-thought reasoning, math (matches o1 on AIME), code generation, scientific reasoning, and 128K context window. The Mixture-of-Experts architecture has 671B total parameters with 37B active per token.

Who Should Use R1 1776?

R1 1776 is built for researchers, journalists, AI engineers, academic teams, and developers who need objective, uncensored frontier reasoning AI for global research and analysis.

Top Use Cases

Real-world applications include scientific reasoning, mathematical problem solving, complex code generation, geopolitical analysis, journalism research, academic literature review, and unbiased educational content generation.

Where Can You Run It?

R1 1776 is available on Hugging Face, Perplexity Sonar API, Together AI, and Fireworks AI. Self-hosting requires substantial GPU infrastructure (8× H100 80GB for the full 671B model). Smaller distilled variants run on consumer hardware.

How to Use R1 1776 (Quick Start)

Easiest: use Perplexity's Sonar API or query via Together AI. For self-hosting: perplexity-ai/r1-1776 on Hugging Face. Use the DeepSeek R1 chat template with <think> tags for chain-of-thought.

When Should You Choose R1 1776?

Choose R1 1776 when you need uncensored frontier reasoning for objective research. For general production deployments, also consider DeepSeek R1, OpenAI o3, or Claude.

Pricing

R1 1776 weights are free under MIT license. Hosted access on Perplexity Sonar API has standard per-token pricing.

Pros and Cons

Pros: ✔ MIT license — fully free ✔ Frontier reasoning (matches o1) ✔ Uncensored Western post-training ✔ 128K context window ✔ Open weights ✔ Strong on math and code

Cons: ✘ Massive GPU required for full model ✘ Inherits some DeepSeek biases despite post-training ✘ Slower inference than non-reasoning models

Final Verdict

R1 1776 brings the best of both worlds — Chinese-trained frontier reasoning with Western post-training and MIT freedom. A landmark open AI release in 2026. Discover more reasoning AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ MIT license — fully free
  • ✓ Frontier reasoning (matches o1)
  • ✓ Western post-training reduces censorship
  • ✓ 128K context window
  • ✓ Open weights
  • ✓ Strong math and code
Limitations
  • ✗ Massive GPU for full 671B model
  • ✗ Inherits some DeepSeek biases despite post-training
  • ✗ Slower inference than non-reasoning models

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code Pricing Details

Technical Details

Architecture
DeepSeek R1 MoE with Western post-training
Stability
stable
Framework
PyTorch
License
MIT
Release Date
2025-02-18
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Free MIT weights; Perplexity Sonar API pay-as-you-go

Best For

Researchers, journalists, and developers needing uncensored frontier reasoning AI

Alternative To

OpenAI o1, Claude Opus, DeepSeek R1 (uncensored alternative)

Compare With

r1 1776 vs deepseek r1r1 1776 vs openai o1r1 1776 vs claudeuncensored reasoning aifree frontier reasoning model

Tags

#Uncensored AI#R1 1776#Perplexity#Reasoning AI#Open Source AI#llm

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