Model Comparison
Qwen3 235B A22B 2507 (Reasoning)
vs. Qwen3.5 397B A17B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 397B A17B (Non-reasoning)11 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.5 397B A17B (Non-reasoning)
100.0 value score
45.6 reasoning / $1.35/1M
Lowest Price
Qwen3.5 397B A17B (Non-reasoning)
$0.60/1M input price
Best Reasoning
Qwen3 235B A22B 2507 (Reasoning)
69.7 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3 235B A22B 2507 (Reasoning)
22.1 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 397B A17B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 397B A17B (Non-reasoning) is 1.2x cheaper on input tokens than Qwen3 235B A22B 2507 (Reasoning).
Speed gap
Qwen3 235B A22B 2507 (Reasoning) generates about 1.1x as many tokens per second as Qwen3.5 397B A17B (Non-reasoning).
Reasoning gap
Qwen3 235B A22B 2507 (Reasoning) leads Qwen3.5 397B A17B (Non-reasoning) by 24.1 points on reasoning.
Top-pick rationale
Qwen3.5 397B A17B (Non-reasoning) wins 11 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 2507 (Reasoning)
Alibaba
TTFT
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Qwen3.5 397B A17B (Non-reasoning)
Alibaba
TTFT
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 235B A22B 2507 (Reasoning) | Top Pick Al Qwen3.5 397B A17B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.60/1M |
| Output Cost | $8.40/1M | $3.60/1M |
| Blended (3:1) | $2.63/1M | $1.35/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Jul 25, 2025 | Feb 16, 2026 |
| Performance & Speed | ||
| Throughput | 68.3 tok/s | 61.6 tok/s |
| TTFT | 1275ms | 1951ms |
| Latency | 30569ms | 1951ms |
| Composite Indices | ||
| Value Score | 78.6 | 100.0 |
| Reasoning Score | 69.7 | 45.6 |
| Intelligence | 19.6 | 32.0 |
| Coding | 22.1 | — |
| Math | 91.0 | — |
| Standard Benchmarks | ||
| GPQA | 79.0% | 86.1% |
| MMLU Pro | 84.3% | — |
| HLE | 15.0% | 18.8% |
| LiveCodeBench | 78.8% | — |
| MATH 500 | 98.4% | — |
| AIME 2025 | 91.0% | — |
| AIME (Original) | 94.0% | — |
| SciCode | 42.4% | 41.1% |
| LCR | 67.0% | 58.0% |
| IFBench | 51.2% | 51.6% |
| TAU-bench v2 | 53.2% | 83.9% |
| TerminalBench Hard | 13.6% | 35.6% |
Key Takeaways
Qwen3.5 397B A17B (Non-reasoning) offers the best value at $0.60/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 235B A22B 2507 (Reasoning) has the strongest reasoning profile with a 69.7 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3 235B A22B 2507 (Reasoning) reaches a 22.1 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 2507 (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3.5 397B A17B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
