Model Comparison
Phi-4
vs. Qwen2.5 Turbo
Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen2.5 Turbo8 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen2.5 Turbo
100.0 value score
28.8 reasoning / $0.09/1M
Lowest Price
Qwen2.5 Turbo
$0.05/1M input price
Best Reasoning
Qwen2.5 Turbo
28.8 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
Qwen2.5 Turbo has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen2.5 Turbo is 2.5x cheaper on input tokens than Phi-4.
Speed gap
Qwen2.5 Turbo generates about 3.5x as many tokens per second as Phi-4.
Reasoning gap
Qwen2.5 Turbo leads Phi-4 by 0.5 points on reasoning.
Top-pick rationale
Qwen2.5 Turbo wins 8 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.
Phi-4
Microsoft
TTFT
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Time
—
tok/s
—
Tokens
—
Cost
—
Qwen2.5 Turbo
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Mi Phi-4 | Top Pick Al Qwen2.5 Turbo |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.13/1M | $0.05/1M |
| Output Cost | $0.50/1M | $0.20/1M |
| Blended (3:1) | $0.22/1M | $0.09/1M |
| Specifications | ||
| Organization | Microsoft | Alibaba |
| Release Date | Dec 12, 2024 | Nov 18, 2024 |
| Performance & Speed | ||
| Throughput | 33.1 tok/s | 115.7 tok/s |
| TTFT | 497ms | 1029ms |
| Latency | 497ms | 1029ms |
| Composite Indices | ||
| Value Score | 39.2 | 100.0 |
| Reasoning Score | 28.3 | 28.8 |
| Intelligence | 4.9 | 6.3 |
| Math | 18.0 | — |
| Standard Benchmarks | ||
| GPQA | 57.5% | 41.0% |
| MMLU Pro | 71.4% | 63.3% |
| HLE | 4.1% | 4.2% |
| LiveCodeBench | 23.1% | 16.3% |
| MATH 500 | 81.0% | 80.5% |
| AIME 2025 | 18.0% | — |
| AIME (Original) | 14.3% | 12.0% |
| SciCode | 26.0% | 15.3% |
| LCR | 0.0% | — |
| IFBench | 23.5% | — |
| TAU-bench v2 | 0.0% | — |
| TerminalBench Hard | 3.8% | — |
Key Takeaways
Qwen2.5 Turbo offers the best value at $0.05/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Turbo has the strongest reasoning profile with a 28.8 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
Phi-4
- General-purpose AI
- Versatile applications
Qwen2.5 Turbo
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
