Model Comparison
V3.2 Speciale
vs. Qwen3.6 35B A3B (Reasoning)
Comparing 2 AI models · 10 benchmarks · DeepSeek, Alibaba
Recommended Pick
De V3.2 Speciale 9 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
V3.2 Speciale
$0.00/1M input price
Best Reasoning
V3.2 Speciale
67.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
V3.2 Speciale
37.9 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
V3.2 Speciale is ∞x cheaper on input tokens than Qwen3.6 35B A3B (Reasoning).
Reasoning gap
V3.2 Speciale leads Qwen3.6 35B A3B (Reasoning) by 17.9 points on reasoning.
Coding gap
V3.2 Speciale leads Qwen3.6 35B A3B (Reasoning) by 2.7 points on coding.
Top-pick rationale
V3.2 Speciale wins 9 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
V3.2 Speciale
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.6 35B A3B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick De V3.2 Speciale | Al Qwen3.6 35B A3B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.25/1M |
| Output Cost | $0.00/1M | $1.49/1M |
| Blended (3:1) | — | $0.56/1M |
| Specifications | ||
| Organization | DeepSeek | Alibaba |
| Release Date | Dec 1, 2025 | Apr 16, 2026 |
| Performance & Speed | ||
| Throughput | — | 161.1 tok/s |
| TTFT | — | 1320ms |
| Latency | — | 34805ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 67.2 | 49.3 |
| Intelligence | 29.4 | 43.5 |
| Coding | 37.9 | 35.2 |
| Math | 96.7 | — |
| Standard Benchmarks | ||
| GPQA | 87.1% | 84.1% |
| MMLU Pro | 86.3% | — |
| HLE | 26.1% | 20.2% |
| LiveCodeBench | 89.6% | — |
| AIME 2025 | 96.7% | — |
| SciCode | 44.0% | 35.8% |
| LCR | 59.3% | 63.7% |
| IFBench | 63.9% | 64.4% |
| TAU-bench v2 | 0.0% | 95.3% |
| TerminalBench Hard | 34.8% | 34.8% |
Key Takeaways
V3.2 Speciale offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
V3.2 Speciale has the strongest reasoning profile with a 67.2 reasoning score, combining the available reasoning-heavy benchmarks.
V3.2 Speciale reaches a 37.9 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 Speciale
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.6 35B A3B (Reasoning)
- General-purpose AI
- Versatile applications
