Model Comparison

DeepSeek-V3.2-Exp vs Gemini 1.5 FlashWhich is better in 2026?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. Gemini 1.5 Flash is 1.2x cheaper per token.

Verdict: DeepSeek-V3.2-Exp vs Gemini 1.5 Flash — which is better?

DeepSeek-V3.2-Exp (by DeepSeek) and Gemini 1.5 Flash (by Google) 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.

DeepSeek-V3.2-Exp outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemini 1.5 Flash is better at 0 benchmarks. DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

On price, Gemini 1.5 Flash is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 1.5 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3.2-Exp if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.5 Flash if…

  • cost matters — it's about 1.2x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.2-Exp outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Gemini 1.5 Flash is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 1.8x more expensive than Gemini 1.5 Flash ($0.15/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 1.5x cheaper than Gemini 1.5 Flash ($0.60/1M tokens).

In conclusion, DeepSeek-V3.2-Exp is more expensive than Gemini 1.5 Flash.*

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

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash accepts 1,048,576 input tokens compared to DeepSeek-V3.2-Exp's 163,840 tokens. DeepSeek-V3.2-Exp can generate longer responses up to 65,536 tokens, while Gemini 1.5 Flash is limited to 8,192 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Gemini 1.5 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Gemini 1.5 Flash uses a proprietary license.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Gemini 1.5 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Gemini 1.5 Flash was released on 2024-05-01.

DeepSeek-V3.2-Exp is 17 months newer than Gemini 1.5 Flash.

DeepSeek-V3.2-Exp

Sep 29, 2025

10 months ago

1.4yr newer
Gemini 1.5 Flash

May 1, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a documented knowledge cutoff of 2023-11-01, while DeepSeek-V3.2-Exp's cutoff date is not specified.

We can confirm Gemini 1.5 Flash's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek-V3.2-Exp's cutoff date.

DeepSeek-V3.2-Exp

—

Gemini 1.5 Flash

Nov 2023

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. Gemini 1.5 Flash is available from Google.

DeepSeek-V3.2-Exp

novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $0.41/1M

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive output tokens
Has open weights
Higher GPQA score (79.9% vs 51.0%)
Higher MMLU-Pro score (85.0% vs 67.3%)
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
DeepSeekDeepSeek-V3.2-Exp
GoogleGemini 1.5 Flash
Compare in Playground

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Gemini 1.5 Flash side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Gemini 1.5 Flash
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Google
Gemini 1.5 Flash

FAQ

Common questions about DeepSeek-V3.2-Exp vs Gemini 1.5 Flash.

Which is better, DeepSeek-V3.2-Exp or Gemini 1.5 Flash?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Gemini 1.5 Flash is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.2-Exp compare to Gemini 1.5 Flash in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%.

Is DeepSeek-V3.2-Exp cheaper than Gemini 1.5 Flash?

Gemini 1.5 Flash is 1.8x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google.

What are the context window sizes for DeepSeek-V3.2-Exp and Gemini 1.5 Flash?

DeepSeek-V3.2-Exp supports 164K tokens and Gemini 1.5 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Exp and Gemini 1.5 Flash?

Key differences include context window (164K vs 1.0M), input pricing ($0.27 vs $0.15/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Gemini 1.5 Flash?

DeepSeek-V3.2-Exp is developed by DeepSeek and Gemini 1.5 Flash is developed by Google.

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