Model Comparison
Qwen3 VL 32B Instruct
vs. R1 1776
Comparing 2 AI models · 11 benchmarks · Alibaba, Perplexity
Recommended Pick
Pe R1 1776 5 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
R1 1776
$0.00/1M input price
Best Reasoning
R1 1776
53.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 32B Instruct
15.6 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 VL 32B Instruct.
Reasoning gap
R1 1776 leads Qwen3 VL 32B Instruct by 8.3 points on reasoning.
Top-pick rationale
R1 1776 wins 5 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 VL 32B Instruct
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 VL 32B Instruct | Top Pick Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.00/1M |
| Output Cost | $2.80/1M | $0.00/1M |
| Blended (3:1) | $1.22/1M | — |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Oct 21, 2025 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | 76.1 tok/s | — |
| TTFT | 1173ms | — |
| Latency | 1173ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 45.4 | 53.7 |
| Intelligence | 17.2 | 12.0 |
| Coding | 15.6 | — |
| Math | 68.3 | — |
| Standard Benchmarks | ||
| GPQA | 67.1% | — |
| MMLU Pro | 79.1% | — |
| HLE | 6.3% | — |
| LiveCodeBench | 51.4% | — |
| MATH 500 | — | 95.4% |
| AIME 2025 | 68.3% | — |
| SciCode | 30.1% | — |
| LCR | 31.3% | — |
| IFBench | 39.2% | — |
| TAU-bench v2 | 29.2% | — |
| TerminalBench Hard | 8.3% | — |
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.
Qwen3 VL 32B Instruct reaches a 15.6 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 VL 32B Instruct
- Code generation
- Software development
R1 1776
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
