Model Comparison
Phi-4 Mini Instruct
vs. Tiny Aya Global
Comparing 2 AI models · 12 benchmarks · Microsoft, Cohere
Recommended Pick
MiPhi-4 Mini Instruct7 metric winsStrongest on: Reasoning, Intelligence, GPQA
Lowest Price
Phi-4 Mini Instruct
$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
Speed gap
Tiny Aya Global generates about 2.9x as many tokens per second as Phi-4 Mini Instruct.
Reasoning gap
Phi-4 Mini Instruct leads Tiny Aya Global by 6.2 points on reasoning.
Top-pick rationale
Phi-4 Mini Instruct wins 7 measurable categories, including Reasoning, Intelligence, GPQA, SciCode.
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
—
Tiny Aya Global
Cohere
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Top Pick Mi Phi-4 Mini Instruct | Co Tiny Aya Global |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Microsoft | Cohere |
| Release Date | Feb 26, 2024 | Feb 17, 2026 |
| Performance & Speed | ||
| Throughput | 46.4 tok/s | 134.2 tok/s |
| TTFT | 326ms | 265ms |
| Latency | 326ms | 265ms |
| Composite Indices | ||
| Reasoning Score | 18.5 | 12.2 |
| Intelligence | 6.0 | 1.0 |
| Coding | 3.8 | — |
| Math | 6.7 | — |
| Standard Benchmarks | ||
| GPQA | 33.1% | 30.5% |
| MMLU Pro | 46.5% | — |
| HLE | 4.2% | 5.2% |
| LiveCodeBench | 12.6% | — |
| MATH 500 | 69.6% | — |
| AIME 2025 | 6.7% | — |
| AIME (Original) | 3.0% | — |
| SciCode | 10.8% | 3.6% |
| LCR | 13.7% | 0.0% |
| IFBench | 21.1% | 20.1% |
| TAU-bench v2 | 8.2% | 0.0% |
| TerminalBench Hard | 0.0% | 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.
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-4 Mini Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Tiny Aya Global
- General-purpose AI
- Versatile applications
