Model Comparison
R1 Distill Qwen 32B
vs. Qwen3.6 35B A3B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · DeepSeek, Alibaba
Recommended Pick
Al Qwen3.6 35B A3B (Non-reasoning) 6 metric wins Strongest on: Throughput, Intelligence, GPQA
Lowest Price
R1 Distill Qwen 32B
$0.00/1M input price
Best Reasoning
R1 Distill Qwen 32B
53.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.6 35B A3B (Non-reasoning)
17.6 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
R1 Distill Qwen 32B is ∞x cheaper on input tokens than Qwen3.6 35B A3B (Non-reasoning).
Reasoning gap
R1 Distill Qwen 32B leads Qwen3.6 35B A3B (Non-reasoning) by 11.4 points on reasoning.
Top-pick rationale
Qwen3.6 35B A3B (Non-reasoning) wins 6 measurable categories, including Throughput, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
R1 Distill Qwen 32B
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.6 35B A3B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | De R1 Distill Qwen 32B | Top Pick Al Qwen3.6 35B A3B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.38/1M |
| Output Cost | $0.00/1M | $2.25/1M |
| Blended (3:1) | — | $0.84/1M |
| Specifications | ||
| Organization | DeepSeek | Alibaba |
| Release Date | Jan 20, 2025 | Apr 16, 2026 |
| Performance & Speed | ||
| Throughput | — | 171.6 tok/s |
| TTFT | — | 1362ms |
| Latency | — | 1362ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 53.3 | 41.9 |
| Intelligence | 17.2 | 31.5 |
| Coding | — | 17.6 |
| Math | 63.0 | — |
| Standard Benchmarks | ||
| GPQA | 61.5% | 81.7% |
| MMLU Pro | 73.9% | — |
| HLE | 5.5% | 12.5% |
| LiveCodeBench | 27.0% | — |
| MATH 500 | 94.1% | — |
| AIME 2025 | 63.0% | — |
| AIME (Original) | 68.7% | — |
| SciCode | 37.6% | 1.3% |
| LCR | 9.7% | 56.7% |
| IFBench | 22.9% | 36.2% |
| TAU-bench v2 | — | 85.1% |
| TerminalBench Hard | — | 25.8% |
Key Takeaways
R1 Distill Qwen 32B offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
R1 Distill Qwen 32B has the strongest reasoning profile with a 53.3 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.6 35B A3B (Non-reasoning) reaches a 17.6 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
R1 Distill Qwen 32B
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3.6 35B A3B (Non-reasoning)
- Code generation
- Software development
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