Model Comparison
Qwen3.5 27B (Reasoning)
vs. 105B (high)
Comparing 2 AI models · 7 benchmarks · Alibaba, Sarvam
Recommended Pick
AlQwen3.5 27B (Reasoning)9 metric winsStrongest on: Reasoning, Intelligence, GPQA
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 (Reasoning)
47.3 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 (Reasoning).
Speed gap
105B (high) generates about 1.8x as many tokens per second as Qwen3.5 27B (Reasoning).
Reasoning gap
Qwen3.5 27B (Reasoning) leads 105B (high) by 15.3 points on reasoning.
Top-pick rationale
Qwen3.5 27B (Reasoning) wins 9 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 27B (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 (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 | 86.2 tok/s | 154.6 tok/s |
| TTFT | 1391ms | 1177ms |
| Latency | 24607ms | 14117ms |
| Composite Indices | ||
| Value Score | 13.3 | 100.0 |
| Reasoning Score | 47.3 | 31.9 |
| Intelligence | 33.8 | 11.9 |
| Standard Benchmarks | ||
| GPQA | 85.8% | 73.8% |
| HLE | 22.2% | 10.1% |
| SciCode | 39.5% | 26.4% |
| LCR | 67.3% | 0.0% |
| IFBench | 75.6% | 34.4% |
| TAU-bench v2 | 93.9% | 46.8% |
| TerminalBench Hard | 32.6% | 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 (Reasoning) has the strongest reasoning profile with a 47.3 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 (Reasoning)
- Complex reasoning tasks
- Research & analysis
105B (high)
- Cost-sensitive applications
- High-volume processing
