Model Comparison

Gemini 3 Flash vs DeepSeek-V3.2 (Thinking)Which is better in 2026?

Gemini 3 Flash significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is 3.6x cheaper per token.

Verdict: Gemini 3 Flash vs DeepSeek-V3.2 (Thinking) — which is better?

Gemini 3 Flash (by Google) and DeepSeek-V3.2 (Thinking) (by DeepSeek) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 3 Flash outperforms in 7 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0, Toolathlon), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks. Gemini 3 Flash significantly outperforms across most benchmarks.

On price, DeepSeek-V3.2 (Thinking) is roughly 3.6x 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.

Choose Gemini 3 Flash if…

  • you want the strongest raw capability — it leads on 7 of 7 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

Choose DeepSeek-V3.2 (Thinking) if…

  • cost matters — it's about 3.6x cheaper per token
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemini 3 Flash outperforms in 7 benchmarks (AIME 2025, GPQA, Humanity's Last Exam, SWE-Bench Verified, t2-bench, Terminal-Bench 2.0, Toolathlon), while DeepSeek-V3.2 (Thinking) is better at 0 benchmarks.

Gemini 3 Flash significantly outperforms across most benchmarks.

Mon Jun 08 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, Gemini 3 Flash ($0.50/1M tokens) is 1.8x more expensive than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).

For output processing, Gemini 3 Flash ($3.00/1M tokens) is 7.1x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).

In conclusion, Gemini 3 Flash is more expensive than DeepSeek-V3.2 (Thinking).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Jun 08 2026 • llm-stats.com
Google
Gemini 3 Flash
Input tokens$0.50
Output tokens$3.00
Best providerGoogle
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3 Flash accepts 1,000,000 input tokens compared to DeepSeek-V3.2 (Thinking)'s 131,072 tokens. Both models can generate responses up to 65,536 tokens.

Google
Gemini 3 Flash
Input1,000,000 tokens
Output65,536 tokens
DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
Mon Jun 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Flash supports multimodal inputs, whereas DeepSeek-V3.2 (Thinking) does not.

Gemini 3 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Flash

Text
Images
Audio
Video

DeepSeek-V3.2 (Thinking)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Flash is licensed under a proprietary license, while DeepSeek-V3.2 (Thinking) uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3 Flash

Proprietary

Closed source

DeepSeek-V3.2 (Thinking)

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Flash was released on 2025-12-17, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.

Gemini 3 Flash is 1 month newer than DeepSeek-V3.2 (Thinking).

Gemini 3 Flash

Dec 17, 2025

5 months ago

2w newer
DeepSeek-V3.2 (Thinking)

Dec 1, 2025

6 months ago

Knowledge Cutoff

When training data ends

Gemini 3 Flash has a documented knowledge cutoff of 2025-01-31, while DeepSeek-V3.2 (Thinking)'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 (Thinking)'s cutoff date.

Gemini 3 Flash

Jan 2025

DeepSeek-V3.2 (Thinking)

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Provider Availability

Gemini 3 Flash is available from Google. DeepSeek-V3.2 (Thinking) is available from DeepSeek.

Gemini 3 Flash

google logo
Google
Input Price:Input: $0.50/1MOutput Price:Output: $3.00/1M

DeepSeek-V3.2 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher AIME 2025 score (99.7% vs 93.1%)
Higher GPQA score (90.4% vs 82.4%)
Higher Humanity's Last Exam score (43.5% vs 25.1%)
Higher SWE-Bench Verified score (78.0% vs 73.1%)
Higher t2-bench score (90.2% vs 80.2%)
Higher Terminal-Bench 2.0 score (47.6% vs 46.4%)
Higher Toolathlon score (49.4% vs 35.2%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Flash
DeepSeek
DeepSeek-V3.2 (Thinking)

FAQ

Common questions about Gemini 3 Flash vs DeepSeek-V3.2 (Thinking).

Which is better, Gemini 3 Flash or DeepSeek-V3.2 (Thinking)?

Gemini 3 Flash significantly outperforms across most benchmarks. Gemini 3 Flash is made by Google and DeepSeek-V3.2 (Thinking) is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 3 Flash compare to DeepSeek-V3.2 (Thinking) in benchmarks?

Gemini 3 Flash scores Vending-Bench 2: 100.0%, AIME 2025: 99.7%, Global PIQA: 92.8%, MMMLU: 91.8%, GPQA: 90.4%. DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%.

Is Gemini 3 Flash cheaper than DeepSeek-V3.2 (Thinking)?

DeepSeek-V3.2 (Thinking) is 1.8x cheaper for input tokens. Gemini 3 Flash costs $0.50/M input and $3.00/M output via google. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek.

What are the context window sizes for Gemini 3 Flash and DeepSeek-V3.2 (Thinking)?

Gemini 3 Flash supports 1.0M tokens and DeepSeek-V3.2 (Thinking) supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3 Flash and DeepSeek-V3.2 (Thinking)?

Key differences include context window (1.0M vs 131K), input pricing ($0.50 vs $0.28/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Flash and DeepSeek-V3.2 (Thinking)?

Gemini 3 Flash is developed by Google and DeepSeek-V3.2 (Thinking) is developed by DeepSeek.

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