Model Comparison
R1 1776
vs. Ring-1T
Comparing 2 AI models · 11 benchmarks · Perplexity, InclusionAI
Recommended Pick
In Ring-1T 2 metric wins Strongest on: Reasoning, Intelligence
Lowest Price
R1 1776
$0.00/1M input price
Best Reasoning
Ring-1T
57.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Ring-1T
16.8 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Reasoning gap
Ring-1T leads R1 1776 by 4.1 points on reasoning.
Top-pick rationale
Ring-1T wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 1776
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Ring-1T
InclusionAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Pe R1 1776 | Top Pick In Ring-1T |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Perplexity | InclusionAI |
| Release Date | Feb 18, 2025 | Oct 13, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 53.7 | 57.8 |
| Intelligence | 12.0 | 22.8 |
| Coding | — | 16.8 |
| Math | — | 89.3 |
| Standard Benchmarks | ||
| GPQA | — | 77.4% |
| MMLU Pro | — | 80.6% |
| HLE | — | 10.2% |
| LiveCodeBench | — | 64.3% |
| MATH 500 | 95.4% | — |
| AIME 2025 | — | 89.3% |
| SciCode | — | 36.7% |
| LCR | — | 45.7% |
| IFBench | — | 44.6% |
| TAU-bench v2 | — | 26.3% |
| TerminalBench Hard | — | 6.8% |
Key Takeaways
R1 1776 offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Ring-1T has the strongest reasoning profile with a 57.8 reasoning score, combining the available reasoning-heavy benchmarks.
Ring-1T reaches a 16.8 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
R1 1776
- Cost-sensitive applications
- High-volume processing
Ring-1T
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
