DeepSeek-V4-Flash-Max 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-V4-Flash-Max outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.8-Flash-Next is better at 4 benchmarks (GPQA, SWE-bench Multilingual, SWE-Bench Pro, Toolathlon). Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-Max
- you want predictable pricing at $0.14/M input and $0.28/M output
Choose Qwen3.8-Flash-Next
- you want the strongest raw capability — it leads on 4 of 5 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-V4-Flash-Max outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.8-Flash-Next is better at 4 benchmarks (GPQA, SWE-bench Multilingual, SWE-Bench Pro, Toolathlon).
Qwen3.8-Flash-Next significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Flash-Max has 159.0B more parameters than Qwen3.8-Flash-Next, making it 127.2% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Flash-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Max specifies output context (393,216 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.8-Flash-Next supports multimodal inputs, whereas DeepSeek-V4-Flash-Max does not.
Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-Max
Qwen3.8-Flash-Next
License
Usage and distribution terms
DeepSeek-V4-Flash-Max 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-V4-Flash-Max was released on 2026-04-23, while Qwen3.8-Flash-Next was released on 2026-08-26.
Qwen3.8-Flash-Next is 4 months newer than DeepSeek-V4-Flash-Max.
Apr 23, 2026
4 months ago
Aug 26, 2026
0 days ago
4mo 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-V4-Flash-Max and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-Max vs Qwen3.8-Flash-Next.