DeepSeek-V4-Flash-0423 vs Gemini 3.8 Flash
Gemini 3.8 Flash leads the LLM Stats Score 50.1 to 36.1. DeepSeek-V4-Flash-0423 is 13.3x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 50.1 to 36.1, ranking #17 overall.
On price, DeepSeek-V4-Flash-0423 is roughly 13.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0423
- cost matters — it's about 13.3x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 3.8 Flash
- overall performance matters — it scores 50.1 and ranks #17 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
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 · 13 for Gemini 3.8 Flash
DeepSeek-V4-Flash-0423 and Gemini 3.8 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
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 8.3x cheaper than Gemini 3.8 Flash ($0.75/1M tokens).
For output processing, DeepSeek-V4-Flash-0423 ($0.18/1M tokens) is 20.8x cheaper than Gemini 3.8 Flash ($3.75/1M tokens).
In conclusion, Gemini 3.8 Flash 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
Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Flash-0423 can generate longer responses up to 1,048,576 tokens, while Gemini 3.8 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.8 Flash supports multimodal inputs, whereas DeepSeek-V4-Flash-0423 does not.
Gemini 3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0423
Gemini 3.8 Flash
License
Usage and distribution terms
DeepSeek-V4-Flash-0423 is licensed under MIT, while Gemini 3.8 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-0423 was released on 2026-04-23, while Gemini 3.8 Flash was released on 2026-09-02.
Gemini 3.8 Flash is 4 months newer than DeepSeek-V4-Flash-0423.
Apr 23, 2026
5 months ago
Sep 2, 2026
2 weeks ago
4mo newerKnowledge Cutoff
When training data ends
Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while DeepSeek-V4-Flash-0423's cutoff date is not specified.
We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without DeepSeek-V4-Flash-0423's cutoff date.
—
Mar 2026
Provider Availability
DeepSeek-V4-Flash-0423 is available from DeepInfra, Novita. Gemini 3.8 Flash is available from Google.
DeepSeek-V4-Flash-0423
Gemini 3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0423 and Gemini 3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0423 vs Gemini 3.8 Flash.