Model Comparison
Phi-4 Multimodal Instruct
vs. Qwen3.5 9B (Reasoning)
Comparing 2 AI models · 11 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen3.5 9B (Reasoning)6 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Phi-4 Multimodal Instruct
$0.00/1M input price
Best Reasoning
Qwen3.5 9B (Reasoning)
38.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 9B (Reasoning)
28.7 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 Multimodal Instruct is ∞x cheaper on input tokens than Qwen3.5 9B (Reasoning).
Speed gap
Qwen3.5 9B (Reasoning) generates about 3.2x as many tokens per second as Phi-4 Multimodal Instruct.
Reasoning gap
Qwen3.5 9B (Reasoning) leads Phi-4 Multimodal Instruct by 14.6 points on reasoning.
Top-pick rationale
Qwen3.5 9B (Reasoning) wins 6 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Phi-4 Multimodal Instruct
Microsoft
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.5 9B (Reasoning)
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-4 Multimodal Instruct | Top Pick Al Qwen3.5 9B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.10/1M |
| Output Cost | $0.00/1M | $0.15/1M |
| Blended (3:1) | — | $0.11/1M |
| Specifications | ||
| Organization | Microsoft | Alibaba |
| Release Date | Feb 26, 2025 | Mar 2, 2026 |
| Performance & Speed | ||
| Throughput | 16.9 tok/s | 53.4 tok/s |
| TTFT | 363ms | 1291ms |
| Latency | 363ms | 38722ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 23.8 | 38.4 |
| Intelligence | 4.5 | 21.4 |
| Coding | — | 28.7 |
| Standard Benchmarks | ||
| GPQA | 31.5% | 80.6% |
| MMLU Pro | 48.5% | — |
| HLE | 4.4% | 13.3% |
| LiveCodeBench | 13.1% | — |
| MATH 500 | 69.3% | — |
| AIME (Original) | 9.3% | — |
| SciCode | 11.0% | 27.5% |
| LCR | — | 59.0% |
| IFBench | — | 66.7% |
| TAU-bench v2 | — | 86.8% |
| TerminalBench Hard | — | 24.2% |
Key Takeaways
Phi-4 Multimodal Instruct offers the best value at $0.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 9B (Reasoning) has the strongest reasoning profile with a 38.4 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 9B (Reasoning) reaches a 28.7 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 Multimodal Instruct
- Cost-sensitive applications
- High-volume processing
Qwen3.5 9B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
