Model Comparison
Phi-4 Mini Instruct
vs. Qwen3 30B A3B 2507 Instruct
Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen3 30B A3B 2507 Instruct16 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Phi-4 Mini Instruct
$0.00/1M input price
Best Reasoning
Qwen3 30B A3B 2507 Instruct
54.9 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
Price gap
Phi-4 Mini Instruct is ∞x cheaper on input tokens than Qwen3 30B A3B 2507 Instruct.
Speed gap
Qwen3 30B A3B 2507 Instruct generates about 3.2x as many tokens per second as Phi-4 Mini Instruct.
Reasoning gap
Qwen3 30B A3B 2507 Instruct leads Phi-4 Mini Instruct by 36.5 points on reasoning.
Top-pick rationale
Qwen3 30B A3B 2507 Instruct wins 16 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-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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Qwen3 30B A3B 2507 Instruct
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Mi Phi-4 Mini Instruct | Top Pick Al Qwen3 30B A3B 2507 Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.20/1M |
| Output Cost | $0.00/1M | $0.80/1M |
| Blended (3:1) | — | $0.35/1M |
| Specifications | ||
| Organization | Microsoft | Alibaba |
| Release Date | Feb 26, 2024 | Jul 29, 2025 |
| Performance & Speed | ||
| Throughput | 46.3 tok/s | 150.2 tok/s |
| TTFT | 338ms | 967ms |
| Latency | 338ms | 967ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 18.5 | 54.9 |
| Intelligence | 6.0 | 9.1 |
| Coding | 3.8 | — |
| Math | 6.7 | 66.3 |
| Standard Benchmarks | ||
| GPQA | 33.1% | 65.9% |
| MMLU Pro | 46.5% | 77.7% |
| HLE | 4.2% | 6.8% |
| LiveCodeBench | 12.6% | 51.5% |
| MATH 500 | 69.6% | 97.5% |
| AIME 2025 | 6.7% | 66.3% |
| AIME (Original) | 3.0% | 72.7% |
| SciCode | 10.8% | 30.4% |
| LCR | 13.7% | 22.7% |
| IFBench | 21.1% | 33.1% |
| TAU-bench v2 | 8.2% | 10.2% |
| TerminalBench Hard | 0.0% | 6.1% |
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.
Qwen3 30B A3B 2507 Instruct has the strongest reasoning profile with a 54.9 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
- Code generation
- Software development
Qwen3 30B A3B 2507 Instruct
- Complex reasoning tasks
- Research & analysis
