Model Comparison
Qwen3.5 27B (Reasoning)
vs. Qwen3.7 Max
Comparing 2 AI models · 7 benchmarks · Alibaba
Recommended Pick
AlQwen3.7 Max11 metric winsStrongest on: Throughput, Latency, Reasoning
Best Value
Qwen3.5 27B (Reasoning)
100.0 value score
47.3 reasoning / $0.82/1M
Lowest Price
Qwen3.5 27B (Reasoning)
$0.30/1M input price
Best Reasoning
Qwen3.7 Max
58.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.7 Max
66.0 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen3.5 27B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 27B (Reasoning) is 8.3x cheaper on input tokens than Qwen3.7 Max.
Speed gap
Qwen3.7 Max generates about 2.3x as many tokens per second as Qwen3.5 27B (Reasoning).
Reasoning gap
Qwen3.7 Max leads Qwen3.5 27B (Reasoning) by 11.5 points on reasoning.
Top-pick rationale
Qwen3.7 Max wins 11 measurable categories, including Throughput, Latency, Reasoning, Intelligence.
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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tok/s
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Tokens
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Cost
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Qwen3.7 Max
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3.5 27B (Reasoning) | Top Pick Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $2.50/1M |
| Output Cost | $2.40/1M | $7.50/1M |
| Blended (3:1) | $0.82/1M | $3.75/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Feb 24, 2026 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | 86.2 tok/s | 200.4 tok/s |
| TTFT | 1396ms | 1694ms |
| Latency | 24612ms | 13715ms |
| Composite Indices | ||
| Value Score | 100.0 | 27.4 |
| Reasoning Score | 47.3 | 58.8 |
| Intelligence | 33.8 | 46.0 |
| Coding | — | 66.0 |
| Standard Benchmarks | ||
| GPQA | 85.8% | 92.3% |
| HLE | 22.2% | 38.1% |
| SciCode | 39.5% | 48.8% |
| LCR | 67.3% | 69.0% |
| IFBench | 75.6% | 80.5% |
| TAU-bench v2 | 93.9% | 94.7% |
| TerminalBench Hard | 32.6% | 50.8% |
Key Takeaways
Qwen3.5 27B (Reasoning) offers the best value at $0.30/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.7 Max has the strongest reasoning profile with a 58.8 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.7 Max reaches a 66.0 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
Qwen3.5 27B (Reasoning)
- Cost-sensitive applications
- High-volume processing
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
