Model Comparison
R1 1776
vs. Step 3.5 Flash
Comparing 2 AI models · 8 benchmarks · Perplexity, StepFun
Recommended Pick
PeR1 17763 metric winsStrongest on: Input price, Output price, Reasoning
Lowest Price
R1 1776
$0.00/1M input price
Best Reasoning
R1 1776
50.7 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 Step 3.5 Flash.
Reasoning gap
R1 1776 leads Step 3.5 Flash by 7.3 points on reasoning.
Top-pick rationale
R1 1776 wins 3 measurable categories, including Input price, Output price, Reasoning.
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
—
Step 3.5 Flash
StepFun
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Top Pick Pe R1 1776 | St Step 3.5 Flash |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.10/1M |
| Output Cost | $0.00/1M | $0.30/1M |
| Blended (3:1) | — | $0.15/1M |
| Specifications | ||
| Organization | Perplexity | StepFun |
| Release Date | Feb 18, 2025 | Feb 2, 2026 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 50.7 | 43.4 |
| Intelligence | 6.0 | 26.0 |
| Standard Benchmarks | ||
| GPQA | — | 83.1% |
| HLE | — | 21.1% |
| MATH 500 | 95.4% | — |
| SciCode | — | 40.4% |
| LCR | — | 48.0% |
| IFBench | — | 64.6% |
| TAU-bench v2 | — | 94.4% |
| TerminalBench Hard | — | 27.3% |
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 50.7 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
- Complex reasoning tasks
- Research & analysis
Step 3.5 Flash
- General-purpose AI
- Versatile applications
