Model Comparison
Qwen3 235B A22B (Non-reasoning)
vs. Qwen3.5 9B (Reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 9B (Reasoning)12 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.5 9B (Reasoning)
100.0 value score
38.4 reasoning / $0.11/1M
Lowest Price
Qwen3.5 9B (Reasoning)
$0.10/1M input price
Best Reasoning
Qwen3.5 9B (Reasoning)
38.4 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 9B (Reasoning)
28.7 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 9B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 9B (Reasoning) is 7.0x cheaper on input tokens than Qwen3 235B A22B (Non-reasoning).
Speed gap
Qwen3 235B A22B (Non-reasoning) generates about 1.2x as many tokens per second as Qwen3.5 9B (Reasoning).
Reasoning gap
Qwen3.5 9B (Reasoning) leads Qwen3 235B A22B (Non-reasoning) by 3.1 points on reasoning.
Top-pick rationale
Qwen3.5 9B (Reasoning) wins 12 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 235B A22B (Non-reasoning)
Alibaba
TTFT
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Qwen3.5 9B (Reasoning)
Alibaba
TTFT
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tok/s
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 235B A22B (Non-reasoning) | Top Pick Al Qwen3.5 9B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.10/1M |
| Output Cost | $2.80/1M | $0.15/1M |
| Blended (3:1) | $1.22/1M | $0.11/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Apr 28, 2025 | Mar 2, 2026 |
| Performance & Speed | ||
| Throughput | 66.2 tok/s | 53.4 tok/s |
| TTFT | 1199ms | 1291ms |
| Latency | 1199ms | 38722ms |
| Composite Indices | ||
| Value Score | 8.4 | 100.0 |
| Reasoning Score | 35.3 | 38.4 |
| Intelligence | 10.9 | 21.4 |
| Coding | — | 28.7 |
| Math | 23.7 | — |
| Standard Benchmarks | ||
| GPQA | 61.3% | 80.6% |
| MMLU Pro | 76.2% | — |
| HLE | 4.7% | 13.3% |
| LiveCodeBench | 34.3% | — |
| MATH 500 | 90.2% | — |
| AIME 2025 | 23.7% | — |
| AIME (Original) | 32.7% | — |
| SciCode | 29.9% | 27.5% |
| LCR | 0.0% | 59.0% |
| IFBench | 36.6% | 66.7% |
| TAU-bench v2 | 27.2% | 86.8% |
| TerminalBench Hard | 6.1% | 24.2% |
Key Takeaways
Qwen3.5 9B (Reasoning) offers the best value at $0.10/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 9B (Reasoning) has the strongest reasoning profile with a 38.4 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 9B (Reasoning) reaches a 28.7 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 235B A22B (Non-reasoning)
- General-purpose AI
- Versatile applications
Qwen3.5 9B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
