Model Comparison
Qwen3 14B (Non-reasoning)
vs. Qwen3.5 35B A3B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 35B A3B (Reasoning)11 metric winsStrongest on: Input price, Throughput, Reasoning
Best Value
Qwen3 14B (Non-reasoning)
100.0 value score
41.3 reasoning / $0.61/1M
Lowest Price
Qwen3.5 35B A3B (Reasoning)
$0.25/1M input price
Best Reasoning
Qwen3.5 35B A3B (Reasoning)
44.5 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
Qwen3 14B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 35B A3B (Reasoning) is 1.4x cheaper on input tokens than Qwen3 14B (Non-reasoning).
Speed gap
Qwen3.5 35B A3B (Reasoning) generates about 2.7x as many tokens per second as Qwen3 14B (Non-reasoning).
Reasoning gap
Qwen3.5 35B A3B (Reasoning) leads Qwen3 14B (Non-reasoning) by 3.2 points on reasoning.
Top-pick rationale
Qwen3.5 35B A3B (Reasoning) wins 11 measurable categories, including Input price, Throughput, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 14B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.5 35B A3B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Al Qwen3 14B (Non-reasoning) | Top Pick Al Qwen3.5 35B A3B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.35/1M | $0.25/1M |
| Output Cost | $1.40/1M | $2.00/1M |
| Blended (3:1) | $0.61/1M | $0.69/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | 64.4 tok/s | 172.5 tok/s |
| TTFT | 1006ms | 1099ms |
| Latency | 1006ms | 12691ms |
| Composite Indices | ||
| Value Score | 100.0 | 95.9 |
| Reasoning Score | 41.3 | 44.5 |
| Intelligence | 7.0 | 29.3 |
| Math | 58.0 | — |
| Standard Benchmarks | ||
| GPQA | 47.0% | 84.5% |
| MMLU Pro | 67.5% | — |
| HLE | 4.2% | 19.7% |
| LiveCodeBench | 28.0% | — |
| MATH 500 | 87.1% | — |
| AIME 2025 | 58.0% | — |
| AIME (Original) | 28.0% | — |
| SciCode | 26.5% | 37.7% |
| LCR | 0.0% | 62.7% |
| IFBench | 23.9% | 72.5% |
| TAU-bench v2 | 32.2% | 89.2% |
| TerminalBench Hard | 5.3% | 26.5% |
Key Takeaways
Qwen3.5 35B A3B (Reasoning) offers the best value at $0.25/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 35B A3B (Reasoning) has the strongest reasoning profile with a 44.5 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 14B (Non-reasoning)
- General-purpose AI
- Versatile applications
Qwen3.5 35B A3B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
