Model Comparison
GLM-4.7-Flash (Reasoning)
vs. Qwen3.5 27B (Reasoning)
Comparing 2 AI models · 7 benchmarks · Z AI, Alibaba
Recommended Pick
Al Qwen3.5 27B (Reasoning) 11 metric wins Strongest on: Throughput, Latency, Reasoning
Best Value
GLM-4.7-Flash (Reasoning)
100.0 value score
31.8 reasoning / $0.15/1M
Lowest Price
GLM-4.7-Flash (Reasoning)
$0.07/1M input price
Best Reasoning
Qwen3.5 27B (Reasoning)
50.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 27B (Reasoning)
34.9 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
GLM-4.7-Flash (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-4.7-Flash (Reasoning) is 4.3x cheaper on input tokens than Qwen3.5 27B (Reasoning).
Reasoning gap
Qwen3.5 27B (Reasoning) leads GLM-4.7-Flash (Reasoning) by 18.3 points on reasoning.
Coding gap
Qwen3.5 27B (Reasoning) leads GLM-4.7-Flash (Reasoning) by 9.0 points on coding.
Top-pick rationale
Qwen3.5 27B (Reasoning) 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.
GLM-4.7-Flash (Reasoning)
Z AI
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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Qwen3.5 27B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
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Cost
—
Which answer was more useful?
Full Comparison
| Metric | Z GLM-4.7-Flash (Reasoning) | Top Pick Al Qwen3.5 27B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.07/1M | $0.30/1M |
| Output Cost | $0.40/1M | $2.40/1M |
| Blended (3:1) | $0.15/1M | $0.82/1M |
| Specifications | ||
| Organization | Z AI | Alibaba |
| Release Date | Jan 19, 2026 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | 81.1 tok/s | 85.0 tok/s |
| TTFT | 950ms | 1343ms |
| Latency | 25602ms | 24877ms |
| Composite Indices | ||
| Value Score | 100.0 | 29.1 |
| Reasoning Score | 31.8 | 50.0 |
| Intelligence | 30.1 | 42.1 |
| Coding | 25.9 | 34.9 |
| Standard Benchmarks | ||
| GPQA | 58.1% | 85.8% |
| HLE | 7.1% | 22.2% |
| SciCode | 33.7% | 39.5% |
| LCR | 35.0% | 67.3% |
| IFBench | 60.8% | 75.6% |
| TAU-bench v2 | 98.8% | 93.9% |
| TerminalBench Hard | 22.0% | 32.6% |
Key Takeaways
GLM-4.7-Flash (Reasoning) offers the best value at $0.07/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 27B (Reasoning) has the strongest reasoning profile with a 50.0 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.5 27B (Reasoning) reaches a 34.9 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
GLM-4.7-Flash (Reasoning)
- Cost-sensitive applications
- High-volume processing
Qwen3.5 27B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
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