DeepSeek-V3.2 (Non-thinking) vs DeepSeek-V4-Flash-Vision-Exp
Comparing DeepSeek-V3.2 (Non-thinking) and DeepSeek-V4-Flash-Vision-Exp across benchmarks, pricing, and capabilities.
DeepSeek · DeepSeek · Updated for 2026
Which is better?
DeepSeek-V3.2 (Non-thinking) and DeepSeek-V4-Flash-Vision-Exp trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
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-V3.2 (Non-thinking)
- you need open weights you can self-host or fine-tune
Choose DeepSeek-V4-Flash-Vision-Exp
- 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
0 reported for DeepSeek-V3.2 (Non-thinking) · 7 for DeepSeek-V4-Flash-Vision-Exp
DeepSeek-V3.2 (Non-thinking) 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-V3.2 (Non-thinking) ($0.28/1M tokens) is 1.3x more expensive than DeepSeek-V4-Flash-Vision-Exp ($0.22/1M tokens).
For output processing, DeepSeek-V3.2 (Non-thinking) ($0.42/1M tokens) is 1.6x cheaper than DeepSeek-V4-Flash-Vision-Exp ($0.66/1M tokens).
In conclusion, DeepSeek-V4-Flash-Vision-Exp is more expensive than DeepSeek-V3.2 (Non-thinking).*
* 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-V3.2 (Non-thinking)'s 131,072 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while DeepSeek-V3.2 (Non-thinking) is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas DeepSeek-V3.2 (Non-thinking) 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-V3.2 (Non-thinking)
DeepSeek-V4-Flash-Vision-Exp
Release Timeline
When each model was launched
DeepSeek-V3.2 (Non-thinking) was released on 2025-12-01, while DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21.
DeepSeek-V4-Flash-Vision-Exp is 9 months newer than DeepSeek-V3.2 (Non-thinking).
Dec 1, 2025
10 months ago
Aug 21, 2026
1 months ago
8mo 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-V3.2 (Non-thinking) is available from DeepSeek. DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek, DeepInfra.
DeepSeek-V3.2 (Non-thinking)
DeepSeek-V4-Flash-Vision-Exp
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.2 (Non-thinking) and DeepSeek-V4-Flash-Vision-Exp side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2 (Non-thinking) vs DeepSeek-V4-Flash-Vision-Exp.