Model Comparison
Qwen3.5 27B (Non-reasoning)
vs. 105B (high)
Comparing 2 AI models · 7 benchmarks · Alibaba, Sarvam
Recommended Pick
AlQwen3.5 27B (Non-reasoning)10 metric winsStrongest on: Latency, Reasoning, Intelligence
Best Value
105B (high)
100.0 value score
31.9 reasoning / $0.07/1M
Lowest Price
105B (high)
$0.04/1M input price
Best Reasoning
Qwen3.5 27B (Non-reasoning)
42.2 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
105B (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
105B (high) is 7.1x cheaper on input tokens than Qwen3.5 27B (Non-reasoning).
Speed gap
105B (high) generates about 1.4x as many tokens per second as Qwen3.5 27B (Non-reasoning).
Reasoning gap
Qwen3.5 27B (Non-reasoning) leads 105B (high) by 10.3 points on reasoning.
Top-pick rationale
Qwen3.5 27B (Non-reasoning) wins 10 measurable categories, including Latency, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 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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105B (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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Full Comparison
| Metric | Top Pick Al Qwen3.5 27B (Non-reasoning) | Sa 105B (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $0.04/1M |
| Output Cost | $2.40/1M | $0.17/1M |
| Blended (3:1) | $0.82/1M | $0.07/1M |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | Feb 24, 2026 | Mar 6, 2026 |
| Performance & Speed | ||
| Throughput | 93.0 tok/s | 126.7 tok/s |
| TTFT | 1437ms | 1173ms |
| Latency | 1437ms | 16961ms |
| Composite Indices | ||
| Value Score | 11.9 | 100.0 |
| Reasoning Score | 42.2 | 31.9 |
| Intelligence | 29.3 | 11.9 |
| Standard Benchmarks | ||
| GPQA | 84.2% | 73.8% |
| HLE | 13.2% | 10.1% |
| SciCode | 36.7% | 26.4% |
| LCR | 55.7% | 0.0% |
| IFBench | 46.9% | 34.4% |
| TAU-bench v2 | 87.1% | 46.8% |
| TerminalBench Hard | 31.8% | 1.5% |
Key Takeaways
105B (high) offers the best value at $0.04/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 27B (Non-reasoning) has the strongest reasoning profile with a 42.2 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
Qwen3.5 27B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
105B (high)
- Cost-sensitive applications
- High-volume processing
