DeepSeek-V3.2 (Thinking) vs DeepSeek-V4-Flash-Vision-Exp: Specs & Benchmark Comparison

DeepSeek-V3.2 (Thinking) and DeepSeek-V4-Flash-Vision-Exp both come from DeepSeek, DeepSeek-V3.2 (Thinking) was released in November 2025, and DeepSeek-V4-Flash-Vision-Exp followed 9 months later in August 2026. DeepSeek-V3.2 (Thinking) has a published size of about 685 billion parameters; DeepSeek has not disclosed the parameter count of DeepSeek-V4-Flash-Vision-Exp.

We have 14 benchmark results for DeepSeek-V3.2 (Thinking) and 7 benchmark results for DeepSeek-V4-Flash-Vision-Exp, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

DeepSeek-V4-Flash-Vision-Exp is the cheaper API at $0.22 per million input tokens and $0.66 per million output tokens, about 27% below DeepSeek-V3.2 (Thinking) at $0.28 and $0.42. DeepSeek-V4-Flash-Vision-Exp takes the larger context window at 1M tokens, compared with 131K for DeepSeek-V3.2 (Thinking). DeepSeek-V3.2 (Thinking) accepts text as input, while DeepSeek-V4-Flash-Vision-Exp accepts text and images. On tooling, only DeepSeek-V3.2 (Thinking) supports function calling and only DeepSeek-V3.2 (Thinking) offers structured output.

CharacteristicDeepSeek-V3.2 (Thinking)DeepSeek-V4-Flash-Vision-Exp
CompanyDeepSeekDeepSeek
Release DateNovember 30, 2025August 21, 2026
Parameters685B
MultimodalNoYes
Context (input)131K1.0M
Context (output)66K393K
Input Price / 1M$0.28$0.22
Output Price / 1M$0.42$0.66
Average Score68.5%50.4%

Verdict

DeepSeek-V4-Flash-Vision-Exp leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.7, DeepSeek-V4-Flash-Vision-Exp — 0.5.

API Cost

DeepSeek-V3.2 (Thinking) is 1.3x cheaper: input $0.28/1M vs $0.22/1M tokens.

Context Window

DeepSeek-V4-Flash-Vision-Exp supports a larger context: 1M vs 131K tokens.

Recency

DeepSeek-V4-Flash-Vision-Exp is newer: released 8/21/2026 vs 11/30/2025.

More About These Models

Frequently Asked Questions

Which is better for coding — DeepSeek-V3.2 (Thinking) or DeepSeek-V4-Flash-Vision-Exp?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V3.2 (Thinking) or DeepSeek-V4-Flash-Vision-Exp?
DeepSeek-V4-Flash-Vision-Exp is cheaper for input: $0.22 per 1M tokens vs $0.28.
Which has a larger context window — DeepSeek-V3.2 (Thinking) or DeepSeek-V4-Flash-Vision-Exp?
DeepSeek-V4-Flash-Vision-Exp supports a larger context: 1,048,576 tokens vs 131,072.

The DeepSeek-V3.2 (Thinking) and DeepSeek-V4-Flash-Vision-Exp comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2 (Thinking) or DeepSeek-V4-Flash-Vision-Exp page. See also the complete list of AI model comparisons.