Model Comparison
Qwen3.6 27B (Non-reasoning)
vs. 30B (high)
Comparing 2 AI models · 0 benchmarks · Alibaba, Sarvam
Recommended Pick
Strongest on: Value, Input price, Output price
Best Value
30B (high)
100.0 value score
6.4 reasoning / $0.05/1M
Lowest Price
30B (high)
$0.03/1M input price
Best Reasoning
Qwen3.6 27B (Non-reasoning)
31.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 27B (Non-reasoning)
46.6 coding index
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 20x cheaper on input tokens than Qwen3.6 27B (Non-reasoning).
Reasoning gap
Qwen3.6 27B (Non-reasoning) leads 30B (high) by 24.9 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.
Qwen3.6 27B (Non-reasoning)
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?
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OpenAI-compatible inference
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Full Comparison
| Metric | Al Qwen3.6 27B (Non-reasoning) | Top Pick Sa 30B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.03/1M |
| Output Cost | $3.60/1M | $0.11/1M |
| Blended (3:1) | $1.35/1M | $0.05/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Apr 22, 2026 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 57.2 tok/s | — |
| TTFT | 3650ms | — |
| Latency | 3650ms | — |
| Composite Indices | ||
| Value Score | 18.1 | 100.0 |
| Reasoning Score | 31.3 | 6.4 |
| Intelligence | 31.3 | 6.4 |
| Coding | 46.6 | — |
Key Takeaways
30B (high) offers the best value at $0.03/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.6 27B (Non-reasoning) has the strongest reasoning profile with a 31.3 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.6 27B (Non-reasoning) reaches a 46.6 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
Qwen3.6 27B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
30B (high)
- Cost-sensitive applications
- High-volume processing