Model Comparison
Phi-4 Mini Instruct
vs. Qwen2.5 Max
Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen2.5 Max11 metric winsStrongest on: TTFT, Latency, Reasoning
Lowest Price
Phi-4 Mini Instruct
$0.00/1M input price
Best Reasoning
Qwen2.5 Max
36.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Phi-4 Mini Instruct
3.8 coding index
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 Max leads Phi-4 Mini Instruct by 17.6 points on reasoning.
Top-pick rationale
Qwen2.5 Max wins 11 measurable categories, including TTFT, Latency, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Phi-4 Mini Instruct
Microsoft
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen2.5 Max
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
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EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Mi Phi-4 Mini Instruct | Top Pick Al Qwen2.5 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Microsoft | Alibaba |
| Release Date | Feb 26, 2024 | Jan 28, 2025 |
| Performance & Speed | ||
| Throughput | 46.4 tok/s | — |
| TTFT | 323ms | — |
| Latency | 323ms | — |
| Composite Indices | ||
| Reasoning Score | 18.5 | 36.0 |
| Intelligence | 6.0 | 10.2 |
| Coding | 3.8 | — |
| Math | 6.7 | — |
| Standard Benchmarks | ||
| GPQA | 33.1% | 58.7% |
| MMLU Pro | 46.5% | 76.2% |
| HLE | 4.2% | 4.5% |
| LiveCodeBench | 12.6% | 35.9% |
| MATH 500 | 69.6% | 83.5% |
| AIME 2025 | 6.7% | — |
| AIME (Original) | 3.0% | 23.3% |
| SciCode | 10.8% | 33.7% |
| LCR | 13.7% | — |
| IFBench | 21.1% | — |
| TAU-bench v2 | 8.2% | — |
| TerminalBench Hard | 0.0% | — |
Key Takeaways
Phi-4 Mini Instruct offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen2.5 Max has the strongest reasoning profile with a 36.0 reasoning score,combining the available reasoning-heavy benchmarks.
Phi-4 Mini Instruct reaches a 3.8 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
Phi-4 Mini Instruct
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Qwen2.5 Max
- Complex reasoning tasks
- Research & analysis
