Model Comparison
Qwen Chat 14B
vs. Qwen2.5 Instruct 32B
Comparing 2 AI models · 7 benchmarks · Alibaba
Recommended Pick
AlQwen2.5 Instruct 32B2 metric winsStrongest on: Reasoning, Intelligence
Lowest Price
Qwen Chat 14B
$0.00/1M input price
Best Reasoning
Qwen2.5 Instruct 32B
29.9 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
Reasoning gap
Qwen2.5 Instruct 32B leads Qwen Chat 14B by 27.8 points on reasoning.
Top-pick rationale
Qwen2.5 Instruct 32B wins 2 measurable categories, including Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen Chat 14B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen2.5 Instruct 32B
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 Qwen Chat 14B | Top Pick Al Qwen2.5 Instruct 32B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Sep 25, 2023 | Sep 19, 2024 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 2.1 | 29.9 |
| Intelligence | 2.1 | 7.5 |
| Standard Benchmarks | ||
| GPQA | — | 46.6% |
| MMLU Pro | — | 69.7% |
| HLE | — | 3.8% |
| LiveCodeBench | — | 24.8% |
| MATH 500 | — | 80.5% |
| AIME (Original) | — | 11.0% |
| SciCode | — | 22.9% |
Key Takeaways
Qwen Chat 14B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Instruct 32B has the strongest reasoning profile with a 29.9 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
Qwen Chat 14B
- Cost-sensitive applications
- High-volume processing
Qwen2.5 Instruct 32B
- Complex reasoning tasks
- Research & analysis
