Model Comparison
Qwen3 VL 4B Instruct
vs. R1 1776
Comparing 2 AI models · 11 benchmarks · Alibaba, Perplexity
Recommended Pick
Strongest on: Reasoning, Intelligence
Lowest Price
Qwen3 VL 4B Instruct
$0.00/1M input price
Best Reasoning
R1 1776
53.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 VL 4B Instruct
4.6 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 Qwen3 VL 4B Instruct by 28.8 points on reasoning.
Top-pick rationale
R1 1776 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.
Qwen3 VL 4B 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 4B Instruct | Top Pick Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Oct 14, 2025 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 24.9 | 53.7 |
| Intelligence | 9.6 | 12.0 |
| Coding | 4.6 | — |
| Math | 37.0 | — |
| Standard Benchmarks | ||
| GPQA | 37.1% | — |
| MMLU Pro | 63.4% | — |
| HLE | 3.7% | — |
| LiveCodeBench | 29.0% | — |
| MATH 500 | — | 95.4% |
| AIME 2025 | 37.0% | — |
| SciCode | 13.7% | — |
| LCR | 13.0% | — |
| IFBench | 31.8% | — |
| TAU-bench v2 | 23.4% | — |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Qwen3 VL 4B Instruct 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 4B Instruct reaches a 4.6 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 4B Instruct
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
R1 1776
- Complex reasoning tasks
- Research & analysis