DeepSeek-V4-Flash-0731 vs Qwen3.8 Flash
DeepSeek-V4-Flash-0731 and Qwen3.8 Flash are closely matched at 44.7 and 49.1 on the LLM Stats Score. DeepSeek-V4-Flash-0731 is 2.6x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 and Qwen3.8 Flash are closely matched on the overall LLM Stats Score at 44.7 and 49.1.
In the 3 individual benchmarks reported for both models, Qwen3.8 Flash wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0731 is roughly 2.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 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-0731
- cost matters — it's about 2.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
Choose Qwen3.8 Flash
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 22 for Qwen3.8 Flash
DeepSeek-V4-Flash-0731 outperforms in 1 benchmarks (NL2Repo), while Qwen3.8 Flash is better at 2 benchmarks (Agents' Last Exam, Toolathlon).
Qwen3.8 Flash 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-0731 ($0.06/1M tokens) is 2.5x cheaper than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 2.6x cheaper than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, Qwen3.8 Flash is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Flash-0731 has 179.0B more parameters than Qwen3.8 Flash, making it 143.2% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to Qwen3.8 Flash's 1,000,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 1,048,576 tokens, while Qwen3.8 Flash is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Flash supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
Qwen3.8 Flash
License
Usage and distribution terms
DeepSeek-V4-Flash-0731 is licensed under MIT, while Qwen3.8 Flash 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-0731 was released on 2026-07-31, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 1 month newer than DeepSeek-V4-Flash-0731.
Jul 31, 2026
1 months ago
Aug 26, 2026
3 weeks ago
3w newerKnowledge 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-0731 is available from DeepInfra, Novita, Fireworks. Qwen3.8 Flash is available from Novita.
DeepSeek-V4-Flash-0731
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs Qwen3.8 Flash.