Model Comparison
Qwen3.8-Flash-Next
vs. QwQ 32B
Comparing 2 AI models · 0 benchmarks · Alibaba
Recommended Pick
AlQwen3.8-Flash-Next6 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.8-Flash-Next
100.0 value score
55.8 reasoning / $0.23/1M
Lowest Price
Qwen3.8-Flash-Next
$0.15/1M input price
Best Reasoning
Qwen3.8-Flash-Next
55.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.8-Flash-Next
73.1 coding index
Differences That Matter
Best value
Qwen3.8-Flash-Next has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3.8-Flash-Next is 4.4x cheaper on input tokens than QwQ 32B.
Reasoning gap
Qwen3.8-Flash-Next leads QwQ 32B by 42.4 points on reasoning.
Top-pick rationale
Qwen3.8-Flash-Next wins 6 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.
Qwen3.8-Flash-Next
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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QwQ 32B
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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OpenAI-compatible inference
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Full Comparison
| Metric | Top Pick Al Qwen3.8-Flash-Next | Al QwQ 32B |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.66/1M |
| Output Cost | $0.47/1M | $1.00/1M |
| Blended (3:1) | $0.23/1M | $0.74/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Aug 26, 2026 | Mar 5, 2025 |
| Performance & Speed | ||
| Throughput | 75.6 tok/s | — |
| TTFT | 2740ms | — |
| Latency | 29200ms | — |
| Composite Indices | ||
| Value Score | 100.0 | 7.4 |
| Reasoning Score | 55.8 | 13.4 |
| Intelligence | 55.8 | 13.4 |
| Coding | 73.1 | — |
Key Takeaways
Qwen3.8-Flash-Next offers the best value at $0.15/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.8-Flash-Next has the strongest reasoning profile with a 55.8 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.8-Flash-Next reaches a 73.1 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
Qwen3.8-Flash-Next
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
QwQ 32B
- General-purpose AI
- Versatile applications
