Model Comparison
R1 1776
vs. Seed-OSS-36B-Instruct
Comparing 2 AI models · 11 benchmarks · Perplexity, ByteDance Seed
Recommended Pick
Strongest on: Reasoning, Intelligence
Lowest Price
R1 1776
$0.00/1M input price
Best Reasoning
Seed-OSS-36B-Instruct
54.1 reasoning score
Blends available reasoning benchmarks
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 Seed-OSS-36B-Instruct.
Reasoning gap
Seed-OSS-36B-Instruct leads R1 1776 by 3.4 points on reasoning.
Top-pick rationale
Seed-OSS-36B-Instruct 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
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Time
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tok/s
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Tokens
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Cost
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Seed-OSS-36B-Instruct
ByteDance Seed
TTFT
—
Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Pe R1 1776 | Top Pick By Seed-OSS-36B-Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.21/1M |
| Output Cost | $0.00/1M | $0.57/1M |
| Blended (3:1) | — | $0.30/1M |
| Specifications | ||
| Organization | Perplexity | ByteDance Seed |
| Release Date | Feb 18, 2025 | Aug 20, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 50.7 | 54.1 |
| Intelligence | 6.0 | 18.5 |
| Math | — | 84.7 |
| Standard Benchmarks | ||
| GPQA | — | 72.6% |
| MMLU Pro | — | 81.5% |
| HLE | — | 9.9% |
| LiveCodeBench | — | 76.5% |
| MATH 500 | 95.4% | — |
| AIME 2025 | — | 84.7% |
| SciCode | — | 36.5% |
| LCR | — | 60.0% |
| IFBench | — | 41.9% |
| TAU-bench v2 | — | 49.4% |
| 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.
Seed-OSS-36B-Instruct has the strongest reasoning profile with a 54.1 reasoning score,combining the available reasoning-heavy benchmarks.
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
Seed-OSS-36B-Instruct
- Complex reasoning tasks
- Research & analysis