Model Comparison
Phi-3 Mini Instruct 3.8B
vs. Phi-4 Mini Instruct
Comparing 2 AI models · 12 benchmarks · Microsoft
Recommended Pick
MiPhi-4 Mini Instruct12 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Phi-3 Mini Instruct 3.8B
$0.00/1M input price
Best Reasoning
Phi-4 Mini Instruct
18.5 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
Phi-4 Mini Instruct leads Phi-3 Mini Instruct 3.8B by 5.4 points on reasoning.
Top-pick rationale
Phi-4 Mini Instruct wins 12 measurable categories, including Throughput, Reasoning, Intelligence, Math.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Phi-3 Mini Instruct 3.8B
Microsoft
TTFT
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Time
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tok/s
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Tokens
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Cost
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Phi-4 Mini Instruct
Microsoft
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Mi Phi-3 Mini Instruct 3.8B | Top Pick Mi Phi-4 Mini Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Microsoft | Microsoft |
| Release Date | Apr 23, 2024 | Feb 26, 2024 |
| Performance & Speed | ||
| Throughput | — | 46.3 tok/s |
| TTFT | — | 332ms |
| Latency | — | 332ms |
| Composite Indices | ||
| Reasoning Score | 13.0 | 18.5 |
| Intelligence | 4.6 | 6.0 |
| Coding | — | 3.8 |
| Math | 0.3 | 6.7 |
| Standard Benchmarks | ||
| GPQA | 31.9% | 33.1% |
| MMLU Pro | 43.5% | 46.5% |
| HLE | 4.4% | 4.2% |
| LiveCodeBench | 11.6% | 12.6% |
| MATH 500 | 45.7% | 69.6% |
| AIME 2025 | 0.3% | 6.7% |
| AIME (Original) | 4.0% | 3.0% |
| SciCode | 9.0% | 10.8% |
| LCR | 2.0% | 13.7% |
| IFBench | 23.9% | 21.1% |
| TAU-bench v2 | 0.0% | 8.2% |
| TerminalBench Hard | 0.0% | 0.0% |
Key Takeaways
Phi-3 Mini Instruct 3.8B offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Phi-4 Mini Instruct has the strongest reasoning profile with a 18.5 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-3 Mini Instruct 3.8B
- Cost-sensitive applications
- High-volume processing
Phi-4 Mini Instruct
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
