Model Comparison
R1 1776
vs. Solar Open 100B (Reasoning)
Comparing 2 AI models · 8 benchmarks · Perplexity, Upstage
Recommended Pick
Strongest on: Intelligence
Lowest Price
R1 1776
$0.00/1M input price
Best Reasoning
R1 1776
53.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
Solar Open 100B (Reasoning)
10.5 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
R1 1776 leads Solar Open 100B (Reasoning) by 21.5 points on reasoning.
Top-pick rationale
Solar Open 100B (Reasoning) wins 1 measurable categories, including 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
—
Solar Open 100B (Reasoning)
Upstage
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Pe R1 1776 | Top Pick Up Solar Open 100B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Perplexity | Upstage |
| Release Date | Feb 18, 2025 | Dec 17, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 53.7 | 32.2 |
| Intelligence | 12.0 | 21.7 |
| Coding | — | 10.5 |
| Standard Benchmarks | ||
| GPQA | — | 65.7% |
| HLE | — | 9.2% |
| MATH 500 | 95.4% | — |
| SciCode | — | 26.9% |
| LCR | — | 36.0% |
| IFBench | — | 57.7% |
| TAU-bench v2 | — | 48.2% |
| TerminalBench Hard | — | 2.3% |
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 53.7 reasoning score, combining the available reasoning-heavy benchmarks.
Solar Open 100B (Reasoning) reaches a 10.5 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
- Complex reasoning tasks
- Research & analysis
Solar Open 100B (Reasoning)
- Code generation
- Software development