DeepSeek-V4-Flash-0423 vs Qwen3.6 Plus
DeepSeek-V4-Flash-0423 and Qwen3.6 Plus are closely matched at 36.1 and 39.4 on the LLM Stats Score. DeepSeek-V4-Flash-0423 is 10.0x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0423 and Qwen3.6 Plus are closely matched on the overall LLM Stats Score at 36.1 and 39.4.
In the 11 individual benchmarks reported for both models, Qwen3.6 Plus wins 7; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0423 is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0423 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0423
- cost matters — it's about 10.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Apr 2026
- you need open weights you can self-host or fine-tune
Choose Qwen3.6 Plus
- you value its reported benchmark strengths — it wins 7 of 11 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for DeepSeek-V4-Flash-0423 · 65 for Qwen3.6 Plus
DeepSeek-V4-Flash-0423 outperforms in 4 benchmarks (HMMT Feb 26, Humanity's Last Exam, IMO-AnswerBench, Toolathlon), while Qwen3.6 Plus is better at 7 benchmarks (GPQA, MCP Atlas, MMLU-Pro, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0).
Qwen3.6 Plus shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0423 ($0.09/1M tokens) is 5.6x cheaper than Qwen3.6 Plus ($0.50/1M tokens).
For output processing, DeepSeek-V4-Flash-0423 ($0.18/1M tokens) is 16.7x cheaper than Qwen3.6 Plus ($3.00/1M tokens).
In conclusion, Qwen3.6 Plus is more expensive than DeepSeek-V4-Flash-0423.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0423 accepts 1,048,576 input tokens compared to Qwen3.6 Plus's 1,000,000 tokens. DeepSeek-V4-Flash-0423 can generate longer responses up to 1,048,576 tokens, while Qwen3.6 Plus is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.6 Plus supports multimodal inputs, whereas DeepSeek-V4-Flash-0423 does not.
Qwen3.6 Plus can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0423
Qwen3.6 Plus
License
Usage and distribution terms
DeepSeek-V4-Flash-0423 is licensed under MIT, while Qwen3.6 Plus uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0423 was released on 2026-04-23, while Qwen3.6 Plus was released on 2026-03-31.
DeepSeek-V4-Flash-0423 is 1 month newer than Qwen3.6 Plus.
Apr 23, 2026
5 months ago
3w newerMar 31, 2026
5 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-0423 is available from DeepInfra, Novita. Qwen3.6 Plus is available from Novita, Together.
DeepSeek-V4-Flash-0423
Qwen3.6 Plus
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0423 and Qwen3.6 Plus side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0423 vs Qwen3.6 Plus.