DeepSeek-R1-0528 vs DeepSeek-V4-Flash-Vision-Exp
DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 44.7 to 24.1. DeepSeek-V4-Flash-Vision-Exp is 2.8x cheaper per token.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek-V4-Flash-Vision-Exp leads the overall LLM Stats Score 44.7 to 24.1, ranking #42 overall.
On price, DeepSeek-V4-Flash-Vision-Exp is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-Vision-Exp 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-R1-0528
- you need open weights you can self-host or fine-tune
Choose DeepSeek-V4-Flash-Vision-Exp
- overall performance matters — it scores 44.7 and ranks #42 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 2.8x 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 Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
16 reported for DeepSeek-R1-0528 · 7 for DeepSeek-V4-Flash-Vision-Exp
DeepSeek-R1-0528 and DeepSeek-V4-Flash-Vision-Expdon'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-R1-0528 ($0.50/1M tokens) is 2.3x more expensive than DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens).
For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 3.3x more expensive than DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens).
In conclusion, DeepSeek-R1-0528 is more expensive than DeepSeek-V4-Flash-Vision-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to DeepSeek-R1-0528's 163,840 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while DeepSeek-R1-0528 is limited to 163,840 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas DeepSeek-R1-0528 does not.
DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-R1-0528
DeepSeek-V4-Flash-Vision-Exp
Release Timeline
When each model was launched
DeepSeek-R1-0528 was released on 2025-05-28, while DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21.
DeepSeek-V4-Flash-Vision-Exp is 15 months newer than DeepSeek-R1-0528.
May 28, 2025
1.4 years ago
Aug 21, 2026
1 months ago
1.2yr 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-R1-0528 is available from DeepInfra, DeepSeek, Novita. DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek, DeepInfra.
DeepSeek-R1-0528
DeepSeek-V4-Flash-Vision-Exp
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1-0528 and DeepSeek-V4-Flash-Vision-Exp side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1-0528 vs DeepSeek-V4-Flash-Vision-Exp.