DeepSeek-V3.2-Exp vs Gemini 3 Flash
Gemini 3 Flash significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is 3.7x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V3.2-Exp outperforms in 1 benchmarks (SimpleQA), while Gemini 3 Flash is better at 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified). Gemini 3 Flash significantly outperforms across most benchmarks.
On price, DeepSeek-V3.2-Exp is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 Flash also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V3.2-Exp
- cost matters — it's about 3.7x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 3 Flash
- you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3.2-Exp outperforms in 1 benchmarks (SimpleQA), while Gemini 3 Flash is better at 4 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified).
Gemini 3 Flash significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.9x cheaper than Gemini 3 Flash ($0.50/1M tokens).
For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 7.3x cheaper than Gemini 3 Flash ($3.00/1M tokens).
In conclusion, Gemini 3 Flash is more expensive than DeepSeek-V3.2-Exp.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3 Flash accepts 1,000,000 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. Both models can generate responses up to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Flash supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.
Gemini 3 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V3.2-Exp
Gemini 3 Flash
License
Usage and distribution terms
DeepSeek-V3.2-Exp is licensed under MIT, while Gemini 3 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-V3.2-Exp was released on 2025-09-29, while Gemini 3 Flash was released on 2025-12-17.
Gemini 3 Flash is 3 months newer than DeepSeek-V3.2-Exp.
Sep 29, 2025
11 months ago
Dec 17, 2025
8 months ago
2mo newerKnowledge Cutoff
When training data ends
Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.2-Exp's cutoff date is not specified.
We can confirm Gemini 3 Flash's training data extends to 2025-01-31, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.
—
Jan 2025
Provider Availability
DeepSeek-V3.2-Exp is available from Novita. Gemini 3 Flash is available from Google.
DeepSeek-V3.2-Exp
Gemini 3 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3.2-Exp and Gemini 3 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3.2-Exp vs Gemini 3 Flash.