Model Comparison
V3.2 (Non-reasoning)
vs. Qwen3.5 Omni Plus
Comparing 2 AI models · 10 benchmarks · DeepSeek, Alibaba
Recommended Pick
Al Qwen3.5 Omni Plus 9 metric wins Strongest on: Input price, Throughput, Intelligence
Best Value
V3.2 (Non-reasoning)
100.0 value score
47.1 reasoning / $0.78/1M
Lowest Price
Qwen3.5 Omni Plus
$0.40/1M input price
Best Reasoning
V3.2 (Non-reasoning)
47.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
V3.2 (Non-reasoning)
34.6 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
V3.2 (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 Omni Plus is 1.3x cheaper on input tokens than V3.2 (Non-reasoning).
Reasoning gap
V3.2 (Non-reasoning) leads Qwen3.5 Omni Plus by 2.1 points on reasoning.
Coding gap
V3.2 (Non-reasoning) leads Qwen3.5 Omni Plus by 7.0 points on coding.
Top-pick rationale
Qwen3.5 Omni Plus wins 9 measurable categories, including Input price, Throughput, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
V3.2 (Non-reasoning)
DeepSeek
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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Qwen3.5 Omni Plus
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | De V3.2 (Non-reasoning) | Top Pick Al Qwen3.5 Omni Plus |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.50/1M | $0.40/1M |
| Output Cost | $1.60/1M | $4.80/1M |
| Blended (3:1) | $0.78/1M | $1.50/1M |
| Specifications | ||
| Organization | DeepSeek | Alibaba |
| Release Date | Dec 1, 2025 | Mar 30, 2026 |
| Performance & Speed | ||
| Throughput | — | 54.3 tok/s |
| TTFT | — | 1233ms |
| Latency | — | 1233ms |
| Composite Indices | ||
| Value Score | 100.0 | 49.4 |
| Reasoning Score | 47.1 | 45.0 |
| Intelligence | 32.1 | 38.6 |
| Coding | 34.6 | 27.6 |
| Math | 59.0 | — |
| Standard Benchmarks | ||
| GPQA | 75.1% | 82.6% |
| MMLU Pro | 83.7% | — |
| HLE | 10.5% | 13.9% |
| LiveCodeBench | 59.3% | — |
| AIME 2025 | 59.0% | — |
| SciCode | 38.7% | 40.5% |
| LCR | 39.0% | 52.7% |
| IFBench | 49.0% | 51.2% |
| TAU-bench v2 | 78.9% | 88.3% |
| TerminalBench Hard | 32.6% | 21.2% |
Key Takeaways
Qwen3.5 Omni Plus offers the best value at $0.40/1M, making it ideal for high-volume applications and cost-conscious projects.
V3.2 (Non-reasoning) has the strongest reasoning profile with a 47.1 reasoning score, combining the available reasoning-heavy benchmarks.
V3.2 (Non-reasoning) reaches a 34.6 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
V3.2 (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.5 Omni Plus
- Cost-sensitive applications
- High-volume processing
