Model Comparison
Phi-3 Mini Instruct 3.8B
vs. R1 1776
Comparing 2 AI models · 12 benchmarks · Microsoft, Perplexity
Recommended Pick
PeR1 17763 metric winsStrongest on: Reasoning, Intelligence, MATH 500
Lowest Price
Phi-3 Mini Instruct 3.8B
$0.00/1M input price
Best Reasoning
R1 1776
50.8 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
Reasoning gap
R1 1776 leads Phi-3 Mini Instruct 3.8B by 37.8 points on reasoning.
Top-pick rationale
R1 1776 wins 3 measurable categories, including Reasoning, Intelligence, MATH 500.
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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R1 1776
Perplexity
TTFT
—
Time
—
tok/s
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Tokens
—
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 Pe R1 1776 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Microsoft | Perplexity |
| Release Date | Apr 23, 2024 | Feb 18, 2025 |
| Performance & Speed | ||
| Throughput | — | — |
| TTFT | — | — |
| Latency | — | — |
| Composite Indices | ||
| Reasoning Score | 13.0 | 50.8 |
| Intelligence | 4.6 | 6.3 |
| Math | 0.3 | — |
| Standard Benchmarks | ||
| GPQA | 31.9% | — |
| MMLU Pro | 43.5% | — |
| HLE | 4.4% | — |
| LiveCodeBench | 11.6% | — |
| MATH 500 | 45.7% | 95.4% |
| 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.
R1 1776 has the strongest reasoning profile with a 50.8 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-3 Mini Instruct 3.8B
- Cost-sensitive applications
- High-volume processing
R1 1776
- Complex reasoning tasks
- Research & analysis
