Model Comparison

R1 1776
vs. Ring-2.6-1T

Comparing 2 AI models · 8 benchmarks · Perplexity, InclusionAI

Recommended Pick

Perplexity logoR1 17765 metric wins

Strongest on: Input price, Output price, TTFT

Lowest Price

Perplexity logo

R1 1776

$0.00/1M input price

Best Reasoning

Perplexity logo

R1 1776

50.7 reasoning score

Blends available reasoning benchmarks

Best for Coding

InclusionAI logo

Ring-2.6-1T

42.8 coding index

Composite Indices

Higher is better; speed and price are normalized

Standard Benchmarks

Only benchmarks with data are shown

Differences That Matter

Price gap

R1 1776 is ∞x cheaper on input tokens than Ring-2.6-1T.

Reasoning gap

R1 1776 leads Ring-2.6-1T by 4.5 points on reasoning.

Top-pick rationale

R1 1776 wins 5 measurable categories, including Input price, Output price, TTFT, Latency.

Live compare

Response Face-Off

Run one prompt through the selected models and compare response quality with live speed and cost context.

Perplexity logo

R1 1776

Perplexity

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting
InclusionAI logo

Ring-2.6-1T

InclusionAI

Waiting

TTFT

Time

tok/s

Tokens

Cost

Waiting

Which answer was more useful?

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Full Comparison

Metric
Top Pick
Perplexity logoR1 1776
Perplexity
InclusionAI logoRing-2.6-1T
InclusionAI
Pricing per 1M tokens
Input Cost$0.00/1M$0.30/1M
Output Cost$0.00/1M$2.50/1M
Blended (3:1)$0.85/1M
Specifications
OrganizationPerplexityInclusionAI
Release DateFeb 18, 2025May 8, 2026
Performance & Speed
Throughput123.3 tok/s
TTFT1698ms
Latency17922ms
Composite Indices
Value Score100.0
Reasoning Score50.746.2
Intelligence6.031.3
Coding42.8
Standard Benchmarks
GPQA85.7%
HLE21.6%
MATH 50095.4%
SciCode42.4%
LCR67.3%
IFBench44.6%
TAU-bench v292.4%
TerminalBench Hard28.8%

Key Takeaways

R1 1776 offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.

R1 1776 has the strongest reasoning profile with a 50.7 reasoning score,combining the available reasoning-heavy benchmarks.

Ring-2.6-1T reaches a 42.8 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

Perplexity logo

R1 1776

  • Cost-sensitive applications
  • High-volume processing
  • Complex reasoning tasks
  • Research & analysis
InclusionAI logo

Ring-2.6-1T

  • Code generation
  • Software development