Model Comparison
GLM-5.1 (Non-reasoning)
vs. Qwen3 14B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Z AI, Alibaba
Recommended Pick
Z GLM-5.1 (Non-reasoning) 12 metric wins Strongest on: Throughput, TTFT, Latency
Best Value
Qwen3 14B (Reasoning)
100.0 value score
52.1 reasoning / $0.73/1M
Lowest Price
Qwen3 14B (Reasoning)
$0.23/1M input price
Best Reasoning
Qwen3 14B (Reasoning)
52.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
GLM-5.1 (Non-reasoning)
35.8 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 14B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 14B (Reasoning) is 6.0x cheaper on input tokens than GLM-5.1 (Non-reasoning).
Speed gap
GLM-5.1 (Non-reasoning) generates about 1.2x as many tokens per second as Qwen3 14B (Reasoning).
Reasoning gap
Qwen3 14B (Reasoning) leads GLM-5.1 (Non-reasoning) by 1.0 points on reasoning.
Coding gap
GLM-5.1 (Non-reasoning) leads Qwen3 14B (Reasoning) by 22.7 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-5.1 (Non-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 14B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Z GLM-5.1 (Non-reasoning) | Al Qwen3 14B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.40/1M | $0.23/1M |
| Output Cost | $4.40/1M | $2.22/1M |
| Blended (3:1) | $2.15/1M | $0.73/1M |
| Specifications | ||
| Organization | Z AI | Alibaba |
| Release Date | Apr 7, 2026 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 79.7 tok/s | 64.8 tok/s |
| TTFT | 919ms | 1146ms |
| Latency | 919ms | 32014ms |
| Composite Indices | ||
| Value Score | 33.4 | 100.0 |
| Reasoning Score | 51.1 | 52.1 |
| Intelligence | 43.8 | 16.2 |
| Coding | 35.8 | 13.1 |
| Math | — | 55.7 |
| Standard Benchmarks | ||
| GPQA | 83.9% | 60.4% |
| MMLU Pro | — | 77.4% |
| HLE | 25.6% | 4.3% |
| LiveCodeBench | — | 52.3% |
| MATH 500 | — | 96.1% |
| AIME 2025 | — | 55.7% |
| AIME (Original) | — | 76.3% |
| SciCode | 36.1% | 31.6% |
| LCR | 44.3% | 0.0% |
| IFBench | 52.0% | 40.5% |
| TAU-bench v2 | 97.1% | 34.5% |
| TerminalBench Hard | 35.6% | 3.8% |
Key Takeaways
Qwen3 14B (Reasoning) offers the best value at $0.23/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3 14B (Reasoning) has the strongest reasoning profile with a 52.1 reasoning score, combining the available reasoning-heavy benchmarks.
GLM-5.1 (Non-reasoning) reaches a 35.8 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-5.1 (Non-reasoning)
- Code generation
- Software development
Qwen3 14B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
