Model Comparison
Qwen3.7 Max
vs. R1 1776
Comparing 2 AI models · 8 benchmarks · Alibaba, Perplexity
Recommended Pick
Pe R1 1776 4 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
R1 1776
$0.00/1M input price
Best Reasoning
Qwen3.7 Max
62.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.7 Max
50.1 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 Qwen3.7 Max.
Reasoning gap
Qwen3.7 Max leads R1 1776 by 8.6 points on reasoning.
Top-pick rationale
R1 1776 wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.7 Max
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
R1 1776
Perplexity
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Al Qwen3.7 Max | Top Pick Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.50/1M | $0.00/1M |
| Output Cost | $7.50/1M | $0.00/1M |
| Blended (3:1) | $3.75/1M | — |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | May 19, 2026 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | 187.3 tok/s | — |
| TTFT | 1670ms | — |
| Latency | 14532ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 62.3 | 53.7 |
| Intelligence | 56.6 | 12.0 |
| Coding | 50.1 | — |
| Standard Benchmarks | ||
| GPQA | 92.3% | — |
| HLE | 38.1% | — |
| MATH 500 | — | 95.4% |
| SciCode | 48.8% | — |
| LCR | 69.0% | — |
| IFBench | 80.5% | — |
| TAU-bench v2 | 94.7% | — |
| TerminalBench Hard | 50.8% | — |
Key Takeaways
R1 1776 offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.7 Max has the strongest reasoning profile with a 62.3 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.7 Max reaches a 50.1 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
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
R1 1776
- Cost-sensitive applications
- High-volume processing
