Model Comparison

DeepSeek-V3.2-Exp vs Gemma 3 12B

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. Gemma 3 12B is 4.9x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3.2-Exp outperforms in 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA), while Gemma 3 12B is better at 0 benchmarks.

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

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 12B costs less

For input processing, DeepSeek-V3.2-Exp ($0.27/1M tokens) is 5.4x more expensive than Gemma 3 12B ($0.05/1M tokens).

For output processing, DeepSeek-V3.2-Exp ($0.41/1M tokens) is 4.1x more expensive than Gemma 3 12B ($0.10/1M tokens).

In conclusion, DeepSeek-V3.2-Exp is more expensive than Gemma 3 12B.*

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

Lowest available price from all providers
Sun May 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Exp
Input tokens$0.27
Output tokens$0.41
Best providerNovita
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

673.0B diff

DeepSeek-V3.2-Exp has 673.0B more parameters than Gemma 3 12B, making it 5608.3% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Google
Gemma 3 12B
12.0Bparameters
685.0B
DeepSeek-V3.2-Exp
12.0B
Gemma 3 12B

Context Window

Maximum input and output token capacity

DeepSeek-V3.2-Exp accepts 163,840 input tokens compared to Gemma 3 12B's 131,072 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while DeepSeek-V3.2-Exp is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

Gemma 3 12B 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

Gemma 3 12B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Gemma 3 12B uses Gemma.

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

DeepSeek-V3.2-Exp

MIT

Open weights

Gemma 3 12B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Gemma 3 12B was released on 2025-03-12.

DeepSeek-V3.2-Exp is 7 months newer than Gemma 3 12B.

DeepSeek-V3.2-Exp

Sep 29, 2025

7 months ago

6mo newer
Gemma 3 12B

Mar 12, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3.2-Exp is available from Novita. Gemma 3 12B is available from DeepInfra.

DeepSeek-V3.2-Exp

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

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Higher GPQA score (79.9% vs 40.9%)
Higher LiveCodeBench score (74.1% vs 24.6%)
Higher MMLU-Pro score (85.0% vs 60.6%)
Higher SimpleQA score (97.1% vs 6.3%)
Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Google
Gemma 3 12B

FAQ

Common questions about DeepSeek-V3.2-Exp vs Gemma 3 12B.

Which is better, DeepSeek-V3.2-Exp or Gemma 3 12B?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Gemma 3 12B 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 Gemma 3 12B 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%. Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%.

Is DeepSeek-V3.2-Exp cheaper than Gemma 3 12B?

Gemma 3 12B is 5.4x cheaper for input tokens. DeepSeek-V3.2-Exp costs $0.27/M input and $0.41/M output via novita. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.2-Exp and Gemma 3 12B?

DeepSeek-V3.2-Exp supports 164K tokens and Gemma 3 12B 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 DeepSeek-V3.2-Exp and Gemma 3 12B?

Key differences include context window (164K vs 131K), input pricing ($0.27 vs $0.05/M), multimodal support (no vs yes), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Gemma 3 12B?

DeepSeek-V3.2-Exp is developed by DeepSeek and Gemma 3 12B is developed by Google.