Model Comparison
Qwen3 VL 32B Instruct
vs. R1 1776
Comparing 2 AI models · 0 benchmarks · Alibaba, Perplexity
Recommended Pick
AlQwen3 VL 32B Instruct2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
Qwen3 VL 32B Instruct
$0.16/1M input price
Best Reasoning
Qwen3 VL 32B Instruct
8.4 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Reasoning gap
Qwen3 VL 32B Instruct leads R1 1776 by 2.0 points on reasoning.
Top-pick rationale
Qwen3 VL 32B Instruct 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 32B Instruct
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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R1 1776
Perplexity
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
Secure AI Chat made in Europe
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 Al Qwen3 VL 32B Instruct | Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.16/1M | — |
| Output Cost | $0.64/1M | — |
| Blended (3:1) | $0.28/1M | — |
| Specifications | ||
| Organization | Alibaba | Perplexity |
| Release Date | Oct 21, 2025 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | 65.0 tok/s | — |
| TTFT | 2670ms | — |
| Latency | 2670ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 8.4 | 6.4 |
| Intelligence | 8.4 | 6.4 |
Key Takeaways
Qwen3 VL 32B Instruct offers the best value at $0.16/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 32B Instruct has the strongest reasoning profile with a 8.4 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
Qwen3 VL 32B Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
R1 1776
- General-purpose AI
- Versatile applications
