Model Comparison
Phi-3 Mini Instruct 3.8B
vs. Qwen3 Max
Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen3 Max14 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Phi-3 Mini Instruct 3.8B
$0.00/1M input price
Best Reasoning
Qwen3 Max
54.6 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 Max.
Reasoning gap
Qwen3 Max leads Phi-3 Mini Instruct 3.8B by 41.5 points on reasoning.
Top-pick rationale
Qwen3 Max 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
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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 Max
Alibaba
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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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 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $1.20/1M |
| Output Cost | $0.00/1M | $6.00/1M |
| Blended (3:1) | — | $2.40/1M |
| Specifications | ||
| Organization | Microsoft | Alibaba |
| Release Date | Apr 23, 2024 | Sep 23, 2025 |
| Performance & Speed | ||
| Throughput | — | 48.1 tok/s |
| TTFT | — | 1948ms |
| Latency | — | 1948ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 13.0 | 54.6 |
| Intelligence | 4.6 | 24.0 |
| Math | 0.3 | 80.7 |
| Standard Benchmarks | ||
| GPQA | 31.9% | 76.4% |
| MMLU Pro | 43.5% | 84.1% |
| HLE | 4.4% | 11.1% |
| LiveCodeBench | 11.6% | 76.7% |
| MATH 500 | 45.7% | — |
| AIME 2025 | 0.3% | 80.7% |
| AIME (Original) | 4.0% | — |
| SciCode | 9.0% | 38.3% |
| LCR | 2.0% | 46.7% |
| IFBench | 23.9% | 44.1% |
| TAU-bench v2 | 0.0% | 74.3% |
| TerminalBench Hard | 0.0% | 20.5% |
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 Max has the strongest reasoning profile with a 54.6 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 Max
- Complex reasoning tasks
- Research & analysis
