Model Comparison
Qwen3.8-Flash-Next
vs. V4 Pro 0813 (Reasoning, Max Effort)
Comparing 2 AI models · 0 benchmarks · Alibaba, DeepSeek
Recommended Pick
AlQwen3.8-Flash-Next7 metric winsStrongest on: Value, Input price, Output price
Best Value
Qwen3.8-Flash-Next
100.0 value score
42.2 reasoning / $0.23/1M
Lowest Price
Qwen3.8-Flash-Next
$0.15/1M input price
Best Reasoning
Qwen3.8-Flash-Next
42.2 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 8.8x cheaper on input tokens than V4 Pro 0813 (Reasoning, Max Effort).
Speed gap
V4 Pro 0813 (Reasoning, Max Effort) generates about 1.1x as many tokens per second as Qwen3.8-Flash-Next.
Reasoning gap
Qwen3.8-Flash-Next leads V4 Pro 0813 (Reasoning, Max Effort) by 5.9 points on reasoning.
Coding gap
Qwen3.8-Flash-Next leads V4 Pro 0813 (Reasoning, Max Effort) by 4.3 points on coding.
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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V4 Pro 0813 (Reasoning, Max Effort)
DeepSeek
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 Qwen3.8-Flash-Next | De V4 Pro 0813 (Reasoning, Max Effort) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $1.32/1M |
| Output Cost | $0.47/1M | $3.96/1M |
| Blended (3:1) | $0.23/1M | $1.98/1M |
| Specifications | ||
| Organization | Alibaba | DeepSeek |
| Release Date | Aug 26, 2026 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | 71.9 tok/s | 79.9 tok/s |
| TTFT | 2670ms | 1630ms |
| Latency | 30480ms | 26660ms |
| Composite Indices | ||
| Value Score | 100.0 | 10.0 |
| Reasoning Score | 42.2 | 36.3 |
| Intelligence | 42.2 | 36.3 |
| Coding | 73.1 | 68.8 |
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 42.2 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
V4 Pro 0813 (Reasoning, Max Effort)
- General-purpose AI
- Versatile applications
