DeepSeek-V4-Pro-0813 vs Qwen3.8 Flash: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Pro-0813 | Qwen3.8 Flash |
|---|---|---|
| Company | DeepSeek | Alibaba |
| Release Date | August 13, 2026 | August 26, 2026 |
| Parameters | 1.6T | 125B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | 131K |
| Input Price / 1M | $1.32 | $0.15 |
| Output Price / 1M | $3.96 | $0.47 |
| Average Score | 0.8 | 0.7 |
| Benchmarks | ||
| Toolathlon | 0.7 | 0.7 |
Visual Benchmark Comparison
DeepSeek-V4-Pro-0813
Qwen3.8 Flash
Toolathlon0.7 vs 0.7
0.7
0.7
Verdict
Qwen3.8 Flash leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.8, Qwen3.8 Flash — 0.7.
API Cost
Qwen3.8 Flash is 8.5x cheaper: input $0.15/1M vs $1.32/1M tokens.
Context Window
Qwen3.8 Flash supports a larger context: 1M vs 1M tokens.
Recency
Both models were released around the same time: 8/13/2026 and 8/26/2026.
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Pro-0813 or Qwen3.8 Flash?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or Qwen3.8 Flash?
Qwen3.8 Flash is cheaper for input: $0.15 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Qwen3.8 Flash?
Qwen3.8 Flash supports a larger context: 1,048,576 tokens vs 1,000,000.
The DeepSeek-V4-Pro-0813 and Qwen3.8 Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or Qwen3.8 Flash page. See also the complete list of AI model comparisons.