Model Comparison
Phi-3 Mini Instruct 3.8B
vs. Qwen3 VL 30B A3B Instruct
Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen3 VL 30B A3B Instruct14 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Phi-3 Mini Instruct 3.8B
$0.00/1M input price
Best Reasoning
Qwen3 VL 30B A3B Instruct
46.1 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
Price gap
Phi-3 Mini Instruct 3.8B is ∞x cheaper on input tokens than Qwen3 VL 30B A3B Instruct.
Reasoning gap
Qwen3 VL 30B A3B Instruct leads Phi-3 Mini Instruct 3.8B by 33.1 points on reasoning.
Top-pick rationale
Qwen3 VL 30B A3B Instruct wins 14 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-3 Mini Instruct 3.8B
Microsoft
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3 VL 30B A3B Instruct
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Chat with leading AI models
Use Claude, ChatGPT, Gemini alongside with EU-Hosted Models like Deepseek, Qwen & Kimi.
EU-hosted inference
Servers in Germany & Finland. Designed to meet strict GDPR and ISO 27001 compliance requirements.
Full Comparison
| Metric | Mi Phi-3 Mini Instruct 3.8B | Top Pick Al Qwen3 VL 30B A3B 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 | Apr 23, 2024 | Oct 3, 2025 |
| Performance & Speed | ||
| Throughput | — | 126.5 tok/s |
| TTFT | — | 983ms |
| Latency | — | 983ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 13.0 | 46.1 |
| Intelligence | 4.6 | 10.0 |
| Math | 0.3 | 72.3 |
| Standard Benchmarks | ||
| GPQA | 31.9% | 69.5% |
| MMLU Pro | 43.5% | 76.4% |
| HLE | 4.4% | 6.4% |
| LiveCodeBench | 11.6% | 47.6% |
| MATH 500 | 45.7% | — |
| AIME 2025 | 0.3% | 72.3% |
| AIME (Original) | 4.0% | — |
| SciCode | 9.0% | 30.8% |
| LCR | 2.0% | 23.7% |
| IFBench | 23.9% | 33.1% |
| TAU-bench v2 | 0.0% | 19.0% |
| TerminalBench Hard | 0.0% | 6.1% |
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.
Qwen3 VL 30B A3B Instruct has the strongest reasoning profile with a 46.1 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
Qwen3 VL 30B A3B Instruct
- Complex reasoning tasks
- Research & analysis
