Model Comparison
Qwen3.5 397B A17B (Reasoning)
vs. Qwen3 VL 235B A22B Instruct
Comparing 2 AI models · 10 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 397B A17B (Reasoning)11 metric winsStrongest on: Input price, Throughput, Reasoning
Best Value
Qwen3 VL 235B A22B Instruct
100.0 value score
46.6 reasoning / $1.22/1M
Lowest Price
Qwen3.5 397B A17B (Reasoning)
$0.60/1M input price
Best Reasoning
Qwen3.5 397B A17B (Reasoning)
50.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 397B A17B (Reasoning)
48.2 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 VL 235B A22B Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.5 397B A17B (Reasoning) is 1.2x cheaper on input tokens than Qwen3 VL 235B A22B Instruct.
Speed gap
Qwen3.5 397B A17B (Reasoning) generates about 1.1x as many tokens per second as Qwen3 VL 235B A22B Instruct.
Reasoning gap
Qwen3.5 397B A17B (Reasoning) leads Qwen3 VL 235B A22B Instruct by 3.5 points on reasoning.
Top-pick rationale
Qwen3.5 397B A17B (Reasoning) wins 11 measurable categories, including Input price, Throughput, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.5 397B A17B (Reasoning)
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Qwen3 VL 235B A22B Instruct
Alibaba
TTFT
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Time
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tok/s
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Tokens
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Cost
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Which answer was more useful?
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Full Comparison
| Metric | Top Pick Al Qwen3.5 397B A17B (Reasoning) | Al Qwen3 VL 235B A22B Instruct |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $0.70/1M |
| Output Cost | $3.60/1M | $2.80/1M |
| Blended (3:1) | $1.35/1M | $1.22/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Feb 16, 2026 | Sep 23, 2025 |
| Performance & Speed | ||
| Throughput | 61.1 tok/s | 56.6 tok/s |
| TTFT | 1795ms | 1100ms |
| Latency | 53924ms | 1100ms |
| Composite Indices | ||
| Value Score | 97.5 | 100.0 |
| Reasoning Score | 50.1 | 46.6 |
| Intelligence | 33.7 | 14.3 |
| Coding | 48.2 | — |
| Math | — | 70.7 |
| Standard Benchmarks | ||
| GPQA | 89.3% | 71.2% |
| MMLU Pro | — | 82.3% |
| HLE | 27.3% | 6.3% |
| LiveCodeBench | — | 59.4% |
| AIME 2025 | — | 70.7% |
| SciCode | 42.0% | 35.9% |
| LCR | 65.7% | 31.7% |
| IFBench | 78.8% | 42.7% |
| TAU-bench v2 | 95.6% | 35.1% |
| TerminalBench Hard | 40.9% | 6.8% |
Key Takeaways
Qwen3.5 397B A17B (Reasoning) offers the best value at $0.60/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 397B A17B (Reasoning) has the strongest reasoning profile with a 50.1 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.5 397B A17B (Reasoning) reaches a 48.2 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
Qwen3.5 397B A17B (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3 VL 235B A22B Instruct
- General-purpose AI
- Versatile applications
