DeepSeek-V4-Flash-0423 vs Qwen3.8-27B
Qwen3.8-27B shows notably better performance in the majority of benchmarks.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0423 outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.8-27B is better at 2 benchmarks (GPQA, SWE-Bench Pro). Qwen3.8-27B shows notably better performance in the majority of benchmarks.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0423
- you want predictable pricing at $0.10/M input and $0.20/M output
Choose Qwen3.8-27B
- you want the strongest raw capability — it leads on 2 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-V4-Flash-0423 outperforms in 1 benchmarks (Humanity's Last Exam), while Qwen3.8-27B is better at 2 benchmarks (GPQA, SWE-Bench Pro).
Qwen3.8-27B shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0423 has 256.2B more parameters than Qwen3.8-27B, making it 922.3% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-V4-Flash-0423 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0423 specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Qwen3.8-27B supports multimodal inputs, whereas DeepSeek-V4-Flash-0423 does not.
Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0423
Qwen3.8-27B
License
Usage and distribution terms
DeepSeek-V4-Flash-0423 is licensed under MIT, while Qwen3.8-27B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0423 was released on 2026-04-23, while Qwen3.8-27B was released on 2026-08-14.
Qwen3.8-27B is 4 months newer than DeepSeek-V4-Flash-0423.
Apr 23, 2026
4 months ago
Aug 14, 2026
1 weeks ago
3mo 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-0423 and Qwen3.8-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0423 vs Qwen3.8-27B.