DeepSeek-V3.1 vs Qwen3.8-Flash-Next
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V3.1 outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 3 benchmarks (GPQA, Humanity's Last Exam, SWE-bench Multilingual). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V3.1
- you want predictable pricing at $0.27/M input and $1.00/M output
Choose Qwen3.8-Flash-Next
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.1 outperforms in 0 benchmarks, while Qwen3.8-Flash-Next is better at 3 benchmarks (GPQA, Humanity's Last Exam, SWE-bench Multilingual).
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
DeepSeek-V3.1 has 546.0B more parameters than Qwen3.8-Flash-Next, making it 436.8% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.8-Flash-Next supports multimodal inputs, whereas DeepSeek-V3.1 does not.
Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.1
Qwen3.8-Flash-Next
License
Usage and distribution terms
DeepSeek-V3.1 is licensed under MIT, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Qwen Community License 1.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3.1 was released on 2025-01-10, while Qwen3.8-Flash-Next was released on 2026-08-26.
Qwen3.8-Flash-Next is 20 months newer than DeepSeek-V3.1.
Jan 10, 2025
1.6 years ago
Aug 26, 2026
0 days ago
1.6yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.1 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.1 vs Qwen3.8-Flash-Next.