Model Comparison
Phi-4 Multimodal Instruct
vs. QwQ 32B-Preview
Comparing 2 AI models · 7 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwQ 32B-Preview10 metric winsStrongest on: TTFT, Latency, Reasoning
Lowest Price
Phi-4 Multimodal Instruct
$0.00/1M input price
Best Reasoning
QwQ 32B-Preview
41.2 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
Reasoning gap
QwQ 32B-Preview leads Phi-4 Multimodal Instruct by 17.4 points on reasoning.
Top-pick rationale
QwQ 32B-Preview wins 10 measurable categories, including TTFT, Latency, Reasoning, Intelligence.
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
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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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QwQ 32B-Preview
Alibaba
TTFT
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Time
—
tok/s
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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 Multimodal Instruct | Top Pick Al QwQ 32B-Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.00/1M |
| Output Cost | $0.00/1M | $0.00/1M |
| Specifications | ||
| Organization | Microsoft | Alibaba |
| Release Date | Feb 26, 2025 | Nov 27, 2024 |
| Performance & Speed | ||
| Throughput | 16.9 tok/s | — |
| TTFT | 363ms | — |
| Latency | 363ms | — |
| Composite Indices | ||
| Reasoning Score | 23.8 | 41.2 |
| Intelligence | 4.5 | 9.2 |
| Standard Benchmarks | ||
| GPQA | 31.5% | 55.7% |
| MMLU Pro | 48.5% | 64.8% |
| HLE | 4.4% | 4.8% |
| LiveCodeBench | 13.1% | 33.7% |
| MATH 500 | 69.3% | 91.0% |
| AIME (Original) | 9.3% | 45.3% |
| SciCode | 11.0% | 3.8% |
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.
QwQ 32B-Preview has the strongest reasoning profile with a 41.2 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-4 Multimodal Instruct
- Cost-sensitive applications
- High-volume processing
QwQ 32B-Preview
- Complex reasoning tasks
- Research & analysis
