Model Comparison
PALM-2
vs. Phi-4
Comparing 2 AI models · 12 benchmarks · Google, Microsoft
Recommended Pick
GoPALM-24 metric winsStrongest on: Input price, Output price, TTFT
Lowest Price
PALM-2
$0.00/1M input price
Best Reasoning
Phi-4
28.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
PALM-2
4.6 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
PALM-2 is ∞x cheaper on input tokens than Phi-4.
Reasoning gap
Phi-4 leads PALM-2 by 25.1 points on reasoning.
Top-pick rationale
PALM-2 wins 4 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.
PALM-2
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Phi-4
Microsoft
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Go PALM-2 | Mi Phi-4 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.13/1M |
| Output Cost | $0.00/1M | $0.50/1M |
| Blended (3:1) | — | $0.22/1M |
| Specifications | ||
| Organization | Microsoft | |
| Release Date | May 10, 2023 | Dec 12, 2024 |
| Performance & Speed | ||
| Throughput | — | 27.5 tok/s |
| TTFT | — | 654ms |
| Latency | — | 654ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 3.2 | 28.3 |
| Intelligence | 3.2 | 4.9 |
| Coding | 4.6 | — |
| Math | — | 18.0 |
| Standard Benchmarks | ||
| GPQA | — | 57.5% |
| MMLU Pro | — | 71.4% |
| HLE | — | 4.1% |
| LiveCodeBench | — | 23.1% |
| MATH 500 | — | 81.0% |
| AIME 2025 | — | 18.0% |
| AIME (Original) | — | 14.3% |
| SciCode | — | 26.0% |
| LCR | — | 0.0% |
| IFBench | — | 23.5% |
| TAU-bench v2 | — | 0.0% |
| TerminalBench Hard | — | 3.8% |
Key Takeaways
PALM-2 offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Phi-4 has the strongest reasoning profile with a 28.3 reasoning score,combining the available reasoning-heavy benchmarks.
PALM-2 reaches a 4.6 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
PALM-2
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Phi-4
- Complex reasoning tasks
- Research & analysis
