Model Comparison
Qwen2.5 Instruct 72B
vs. Qwen3.5 4B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 4B (Non-reasoning)12 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.5 4B (Non-reasoning)
100.0 value score
31.6 reasoning / $0.06/1M
Lowest Price
Qwen3.5 4B (Non-reasoning)
$0.03/1M input price
Best Reasoning
Qwen3.5 4B (Non-reasoning)
31.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 4B (Non-reasoning)
20.3 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
Qwen3.5 4B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 4B (Non-reasoning) is 15.8x cheaper on input tokens than Qwen2.5 Instruct 72B.
Reasoning gap
Qwen3.5 4B (Non-reasoning) leads Qwen2.5 Instruct 72B by 4.0 points on reasoning.
Top-pick rationale
Qwen3.5 4B (Non-reasoning) wins 12 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Instruct 72B
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.5 4B (Non-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 Qwen2.5 Instruct 72B | Top Pick Al Qwen3.5 4B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.47/1M | $0.03/1M |
| Output Cost | $0.49/1M | $0.15/1M |
| Blended (3:1) | $0.48/1M | $0.06/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Sep 19, 2024 | Mar 2, 2026 |
| Performance & Speed | ||
| Throughput | — | 27.1 tok/s |
| TTFT | — | 430ms |
| Latency | — | 430ms |
| Composite Indices | ||
| Value Score | 10.9 | 100.0 |
| Reasoning Score | 27.5 | 31.6 |
| Intelligence | 9.6 | 16.0 |
| Coding | — | 20.3 |
| Math | 14.0 | — |
| Standard Benchmarks | ||
| GPQA | 49.1% | 71.2% |
| MMLU Pro | 72.0% | — |
| HLE | 4.2% | 7.5% |
| LiveCodeBench | 27.6% | — |
| MATH 500 | 85.8% | — |
| AIME 2025 | 14.0% | — |
| AIME (Original) | 16.0% | — |
| SciCode | 26.7% | 18.3% |
| LCR | 20.3% | 28.3% |
| IFBench | 36.9% | 33.3% |
| TAU-bench v2 | 34.5% | 87.7% |
| TerminalBench Hard | 4.5% | 11.4% |
Key Takeaways
Qwen3.5 4B (Non-reasoning) offers the best value at $0.03/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 4B (Non-reasoning) has the strongest reasoning profile with a 31.6 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 4B (Non-reasoning) reaches a 20.3 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
Qwen2.5 Instruct 72B
- General-purpose AI
- Versatile applications
Qwen3.5 4B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
