Model Comparison
GPT-4
vs. Phi-3 Mini Instruct 3.8B
Comparing 2 AI models · 12 benchmarks · OpenAI, Microsoft
Recommended Pick
Mi Phi-3 Mini Instruct 3.8B 5 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
Phi-3 Mini Instruct 3.8B
$0.00/1M input price
Best Reasoning
Phi-3 Mini Instruct 3.8B
13.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-4
13.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Phi-3 Mini Instruct 3.8B is ∞x cheaper on input tokens than GPT-4.
Reasoning gap
Phi-3 Mini Instruct 3.8B leads GPT-4 by 1.0 points on reasoning.
Coding gap
GPT-4 leads Phi-3 Mini Instruct 3.8B by 10.1 points on coding.
Top-pick rationale
Phi-3 Mini Instruct 3.8B wins 5 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GPT-4
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Phi-3 Mini Instruct 3.8B
Microsoft
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op GPT-4 | Top Pick Mi Phi-3 Mini Instruct 3.8B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $30.00/1M | $0.00/1M |
| Output Cost | $60.00/1M | $0.00/1M |
| Blended (3:1) | $37.50/1M | — |
| Specifications | ||
| Organization | OpenAI | Microsoft |
| Release Date | Mar 14, 2023 | Apr 23, 2024 |
| Performance & Speed | ||
| Throughput | 37.1 tok/s | — |
| TTFT | 1056ms | — |
| Latency | 1056ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 12.8 | 13.8 |
| Intelligence | 12.8 | 10.1 |
| Coding | 13.1 | 3.0 |
| Math | — | 0.3 |
| Standard Benchmarks | ||
| GPQA | — | 31.9% |
| MMLU Pro | — | 43.5% |
| HLE | — | 4.4% |
| LiveCodeBench | — | 11.6% |
| MATH 500 | — | 45.7% |
| AIME 2025 | — | 0.3% |
| AIME (Original) | — | 4.0% |
| SciCode | — | 9.0% |
| LCR | — | 2.0% |
| IFBench | — | 23.9% |
| TAU-bench v2 | — | 0.0% |
| TerminalBench Hard | — | 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-3 Mini Instruct 3.8B has the strongest reasoning profile with a 13.8 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-4 reaches a 13.1 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
GPT-4
- Code generation
- Software development
Phi-3 Mini Instruct 3.8B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
