Model Comparison
Qwen3 14B (Reasoning)
vs. Qwen3.5 397B A17B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 397B A17B (Non-reasoning)10 metric winsStrongest on: Output price, Latency, Intelligence
Best Value
Qwen3 14B (Reasoning)
100.0 value score
51.3 reasoning / $1.31/1M
Lowest Price
Qwen3 14B (Reasoning)
$0.35/1M input price
Best Reasoning
Qwen3 14B (Reasoning)
51.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 14B (Reasoning)
13.8 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 1.7x cheaper on input tokens than Qwen3.5 397B A17B (Non-reasoning).
Speed gap
Qwen3 14B (Reasoning) generates about 1.1x as many tokens per second as Qwen3.5 397B A17B (Non-reasoning).
Reasoning gap
Qwen3 14B (Reasoning) leads Qwen3.5 397B A17B (Non-reasoning) by 5.6 points on reasoning.
Top-pick rationale
Qwen3.5 397B A17B (Non-reasoning) wins 10 measurable categories, including Output price, Latency, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 14B (Reasoning)
Alibaba
TTFT
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Qwen3.5 397B A17B (Non-reasoning)
Alibaba
TTFT
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 14B (Reasoning) | Top Pick Al Qwen3.5 397B A17B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.35/1M | $0.60/1M |
| Output Cost | $4.20/1M | $3.60/1M |
| Blended (3:1) | $1.31/1M | $1.35/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Feb 16, 2026 |
| Performance & Speed | ||
| Throughput | 64.6 tok/s | 61.4 tok/s |
| TTFT | 1149ms | 1884ms |
| Latency | 32098ms | 1884ms |
| Composite Indices | ||
| Value Score | 100.0 | 86.5 |
| Reasoning Score | 51.3 | 45.6 |
| Intelligence | 10.4 | 32.0 |
| Coding | 13.8 | — |
| Math | 55.7 | — |
| Standard Benchmarks | ||
| GPQA | 60.4% | 86.1% |
| MMLU Pro | 77.4% | — |
| HLE | 4.3% | 18.8% |
| LiveCodeBench | 52.3% | — |
| MATH 500 | 96.1% | — |
| AIME 2025 | 55.7% | — |
| AIME (Original) | 76.3% | — |
| SciCode | 31.6% | 41.1% |
| LCR | 0.0% | 58.0% |
| IFBench | 40.5% | 51.6% |
| TAU-bench v2 | 34.5% | 83.9% |
| TerminalBench Hard | 3.8% | 35.6% |
Key Takeaways
Qwen3 14B (Reasoning) offers the best value at $0.35/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 14B (Reasoning) has the strongest reasoning profile with a 51.3 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 14B (Reasoning) reaches a 13.8 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
Qwen3 14B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.5 397B A17B (Non-reasoning)
- General-purpose AI
- Versatile applications
