Model Comparison
Qwen3 VL 32B Instruct
vs. 30B (high)
Comparing 2 AI models · 0 benchmarks · Alibaba, Sarvam
Recommended Pick
Sa30B (high)4 metric winsStrongest on: Value, Input price, Output price
Best Value
30B (high)
100.0 value score
6.6 reasoning / $0.05/1M
Lowest Price
30B (high)
$0.03/1M input price
Best Reasoning
Qwen3 VL 32B Instruct
8.4 reasoning score
Blends available reasoning benchmarks
Differences That Matter
Best value
30B (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
30B (high) is 5.3x cheaper on input tokens than Qwen3 VL 32B Instruct.
Reasoning gap
Qwen3 VL 32B Instruct leads 30B (high) by 1.8 points on reasoning.
Top-pick rationale
30B (high) wins 4 measurable categories, including Value, Input price, Output price, Blended price.
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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30B (high)
Sarvam
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 | Al Qwen3 VL 32B Instruct | Top Pick Sa 30B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.16/1M | $0.03/1M |
| Output Cost | $0.64/1M | $0.11/1M |
| Blended (3:1) | $0.28/1M | $0.05/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Oct 21, 2025 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 66.1 tok/s | — |
| TTFT | 2670ms | — |
| Latency | 2670ms | — |
| Composite Indices | ||
| Value Score | 22.7 | 100.0 |
| Reasoning Score | 8.4 | 6.6 |
| Intelligence | 8.4 | 6.6 |
Key Takeaways
30B (high) offers the best value at $0.03/1M,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
- Complex reasoning tasks
- Research & analysis
30B (high)
- Cost-sensitive applications
- High-volume processing
