Model Comparison
Qwen2.5 Instruct 72B
vs. Qwen3.5 397B A17B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.5 397B A17B (Non-reasoning)10 metric winsStrongest on: Throughput, Reasoning, Intelligence
Best Value
Qwen2.5 Instruct 72B
100.0 value score
27.5 reasoning / $0.48/1M
Lowest Price
Qwen2.5 Instruct 72B
$0.47/1M input price
Best Reasoning
Qwen3.5 397B A17B (Non-reasoning)
45.6 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Qwen2.5 Instruct 72B has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen2.5 Instruct 72B is 1.3x cheaper on input tokens than Qwen3.5 397B A17B (Non-reasoning).
Reasoning gap
Qwen3.5 397B A17B (Non-reasoning) leads Qwen2.5 Instruct 72B by 18.1 points on reasoning.
Top-pick rationale
Qwen3.5 397B A17B (Non-reasoning) wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen2.5 Instruct 72B
Alibaba
TTFT
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Cost
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Qwen3.5 397B A17B (Non-reasoning)
Alibaba
TTFT
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Time
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tok/s
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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen2.5 Instruct 72B | Top Pick Al Qwen3.5 397B A17B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.47/1M | $0.60/1M |
| Output Cost | $0.49/1M | $3.60/1M |
| Blended (3:1) | $0.48/1M | $1.35/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Sep 19, 2024 | Feb 16, 2026 |
| Performance & Speed | ||
| Throughput | — | 61.4 tok/s |
| TTFT | — | 1951ms |
| Latency | — | 1951ms |
| Composite Indices | ||
| Value Score | 100.0 | 58.9 |
| Reasoning Score | 27.5 | 45.6 |
| Intelligence | 9.6 | 32.0 |
| Math | 14.0 | — |
| Standard Benchmarks | ||
| GPQA | 49.1% | 86.1% |
| MMLU Pro | 72.0% | — |
| HLE | 4.2% | 18.8% |
| LiveCodeBench | 27.6% | — |
| MATH 500 | 85.8% | — |
| AIME 2025 | 14.0% | — |
| AIME (Original) | 16.0% | — |
| SciCode | 26.7% | 41.1% |
| LCR | 20.3% | 58.0% |
| IFBench | 36.9% | 51.6% |
| TAU-bench v2 | 34.5% | 83.9% |
| TerminalBench Hard | 4.5% | 35.6% |
Key Takeaways
Qwen2.5 Instruct 72B offers the best value at $0.47/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 397B A17B (Non-reasoning) has the strongest reasoning profile with a 45.6 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Qwen2.5 Instruct 72B
- Cost-sensitive applications
- High-volume processing
Qwen3.5 397B A17B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
