Model Comparison
Phi-4
vs. Qwen3 VL 235B A22B Instruct
Comparing 2 AI models · 12 benchmarks · Microsoft, Alibaba
Recommended Pick
AlQwen3 VL 235B A22B Instruct14 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
Phi-4
100.0 value score
28.3 reasoning / $0.22/1M
Lowest Price
Phi-4
$0.13/1M input price
Best Reasoning
Qwen3 VL 235B A22B Instruct
46.6 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
Best value
Phi-4 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Phi-4 is 5.6x cheaper on input tokens than Qwen3 VL 235B A22B Instruct.
Speed gap
Qwen3 VL 235B A22B Instruct generates about 2.2x as many tokens per second as Phi-4.
Reasoning gap
Qwen3 VL 235B A22B Instruct leads Phi-4 by 18.4 points on reasoning.
Top-pick rationale
Qwen3 VL 235B A22B 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-4
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 VL 235B A22B Instruct
Alibaba
TTFT
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Time
—
tok/s
—
Tokens
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Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Mi Phi-4 | Top Pick Al Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.13/1M | $0.70/1M |
| Output Cost | $0.50/1M | $2.80/1M |
| Blended (3:1) | $0.22/1M | $1.22/1M |
| Specifications | ||
| Organization | Microsoft | Alibaba |
| Release Date | Dec 12, 2024 | Sep 23, 2025 |
| Performance & Speed | ||
| Throughput | 25.2 tok/s | 56.1 tok/s |
| TTFT | 547ms | 1089ms |
| Latency | 547ms | 1089ms |
| Composite Indices | ||
| Value Score | 100.0 | 29.5 |
| Reasoning Score | 28.3 | 46.6 |
| Intelligence | 4.9 | 14.3 |
| Math | 18.0 | 70.7 |
| Standard Benchmarks | ||
| GPQA | 57.5% | 71.2% |
| MMLU Pro | 71.4% | 82.3% |
| HLE | 4.1% | 6.3% |
| LiveCodeBench | 23.1% | 59.4% |
| MATH 500 | 81.0% | — |
| AIME 2025 | 18.0% | 70.7% |
| AIME (Original) | 14.3% | — |
| SciCode | 26.0% | 35.9% |
| LCR | 0.0% | 31.7% |
| IFBench | 23.5% | 42.7% |
| TAU-bench v2 | 0.0% | 35.1% |
| TerminalBench Hard | 3.8% | 6.8% |
Key Takeaways
Phi-4 offers the best value at $0.13/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 VL 235B A22B Instruct has the strongest reasoning profile with a 46.6 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-4
- Cost-sensitive applications
- High-volume processing
Qwen3 VL 235B A22B Instruct
- Complex reasoning tasks
- Research & analysis
