Model Comparison
Phi-4 Multimodal Instruct
vs. Qwen3 Max Thinking (Preview)
Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen3 Max Thinking (Preview)8 metric winsStrongest on: Throughput, Reasoning, Intelligence
Lowest Price
Phi-4 Multimodal Instruct
$0.00/1M input price
Best Reasoning
Qwen3 Max Thinking (Preview)
55.8 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-4 Multimodal Instruct is ∞x cheaper on input tokens than Qwen3 Max Thinking (Preview).
Speed gap
Qwen3 Max Thinking (Preview) generates about 3.7x as many tokens per second as Phi-4 Multimodal Instruct.
Reasoning gap
Qwen3 Max Thinking (Preview) leads Phi-4 Multimodal Instruct by 32.0 points on reasoning.
Top-pick rationale
Qwen3 Max Thinking (Preview) wins 8 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
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tok/s
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Tokens
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Cost
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Qwen3 Max Thinking (Preview)
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?
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Full Comparison
| Metric | Mi Phi-4 Multimodal Instruct | Top Pick Al Qwen3 Max Thinking (Preview) |
|---|---|---|
| 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 | Feb 26, 2025 | Nov 3, 2025 |
| Performance & Speed | ||
| Throughput | 16.7 tok/s | 61.3 tok/s |
| TTFT | 357ms | 1703ms |
| Latency | 357ms | 34327ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 23.8 | 55.8 |
| Intelligence | 4.5 | 25.0 |
| Math | — | 82.3 |
| Standard Benchmarks | ||
| GPQA | 31.5% | 77.6% |
| MMLU Pro | 48.5% | 82.4% |
| HLE | 4.4% | 12.0% |
| LiveCodeBench | 13.1% | 53.5% |
| MATH 500 | 69.3% | — |
| AIME 2025 | — | 82.3% |
| AIME (Original) | 9.3% | — |
| SciCode | 11.0% | 38.7% |
| LCR | — | 57.7% |
| IFBench | — | 53.8% |
| TAU-bench v2 | — | 83.6% |
| TerminalBench Hard | — | 17.4% |
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 Max Thinking (Preview) has the strongest reasoning profile with a 55.8 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
Qwen3 Max Thinking (Preview)
- Complex reasoning tasks
- Research & analysis
