R1 1776 Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 128k ~192 A4 pages of size 12 Arial font |
| Total parameters | 671B |
| Active parameters | 37B Number of parameters active per token during inference |
| License | MIT |
| Model weights | Hugging Face |
R1 1776 is among the least intelligent models, but well priced when comparing to other open weight models of similar size. The model supports text input, outputs text, and has a 128k tokens context window.
R1 1776 scores 12 on the Artificial Analysis Intelligence Index, placing it at the lower end among comparable models (averaging 27). When evaluating the Intelligence Index, it generated 0.0 tokens, which is very concise in comparison to the average of 17M.
Pricing for R1 1776 is $0.00 per 1M input tokens (competitively priced, average: $0.55) and $0.00 per 1M output tokens (competitively priced, average: $1.70).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of R1 1776 API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Frequently Asked Questions
Common questions about R1 1776
R1 1776 was released on February 18, 2025.
R1 1776 was created by Perplexity.
R1 1776 scores 12 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight models of similar size (median: 27).
When evaluated on the Intelligence Index, R1 1776 generated 0.0 output tokens, which is very competitive compared to other open weight models of similar size (median: 17M).
Yes, R1 1776 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
R1 1776 supports text input.
R1 1776 supports text output.
No, R1 1776 does not support image input. It can only process text.
No, R1 1776 is not multimodal. It only supports text input.
R1 1776 has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, R1 1776 is open weights. The model weights are publicly available and can be downloaded for self-hosting.
R1 1776 has 671 billion parameters (37 billion active).
R1 1776 is a Mixture of Experts (MoE) model with 671 billion total parameters, but only 37 billion active parameters are used during inference.
R1 1776 is released under the MIT license. This license allows commercial use. View license
R1 1776 achieves a score of 12 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
R1 1776 is an open weights model that can be self-hosted. View providers
R1 1776 is an open weights model that can be downloaded and self-hosted. Compare providers