Model Comparison
Qwen3 32B (Non-reasoning)
vs. Qwen3.5 122B A10B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 122B A10B (Reasoning)12 metric winsStrongest on: Value, Input price, Blended price
Best Value
Qwen3.5 122B A10B (Reasoning)
100.0 value score
47.1 reasoning / $1.10/1M
Lowest Price
Qwen3.5 122B A10B (Reasoning)
$0.40/1M input price
Best Reasoning
Qwen3.5 122B A10B (Reasoning)
47.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 122B A10B (Reasoning)
45.7 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
Qwen3.5 122B A10B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 122B A10B (Reasoning) is 1.7x cheaper on input tokens than Qwen3 32B (Non-reasoning).
Speed gap
Qwen3.5 122B A10B (Reasoning) generates about 1.5x as many tokens per second as Qwen3 32B (Non-reasoning).
Reasoning gap
Qwen3.5 122B A10B (Reasoning) leads Qwen3 32B (Non-reasoning) by 15.3 points on reasoning.
Top-pick rationale
Qwen3.5 122B A10B (Reasoning) wins 12 measurable categories, including Value, Input price, Blended price, Throughput.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 32B (Non-reasoning)
Alibaba
TTFT
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tok/s
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Tokens
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Cost
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Qwen3.5 122B A10B (Reasoning)
Alibaba
TTFT
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Time
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tok/s
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 32B (Non-reasoning) | Top Pick Al Qwen3.5 122B A10B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.40/1M |
| Output Cost | $2.80/1M | $3.20/1M |
| Blended (3:1) | $1.22/1M | $1.10/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | 99.1 tok/s | 147.3 tok/s |
| TTFT | 1076ms | 1066ms |
| Latency | 1076ms | 14644ms |
| Composite Indices | ||
| Value Score | 60.7 | 100.0 |
| Reasoning Score | 31.9 | 47.1 |
| Intelligence | 8.6 | 32.3 |
| Coding | — | 45.7 |
| Math | 19.7 | — |
| Standard Benchmarks | ||
| GPQA | 53.5% | 85.7% |
| MMLU Pro | 72.7% | — |
| HLE | 4.3% | 23.4% |
| LiveCodeBench | 28.8% | — |
| MATH 500 | 86.9% | — |
| AIME 2025 | 19.7% | — |
| AIME (Original) | 30.3% | — |
| SciCode | 28.0% | 42.0% |
| LCR | 0.0% | 66.7% |
| IFBench | 31.5% | 75.7% |
| TAU-bench v2 | — | 93.6% |
| TerminalBench Hard | — | 31.1% |
Key Takeaways
Qwen3.5 122B A10B (Reasoning) offers the best value at $0.40/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 122B A10B (Reasoning) has the strongest reasoning profile with a 47.1 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 122B A10B (Reasoning) reaches a 45.7 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
Qwen3 32B (Non-reasoning)
- General-purpose AI
- Versatile applications
Qwen3.5 122B A10B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
