Model Comparison

DeepSeek-V2.5 vs Gemma 3 4B

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. Gemma 3 4B is 7.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V2.5 outperforms in 2 benchmarks (GSM8k, HumanEval), while Gemma 3 4B is better at 1 benchmark (MATH).

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 7.0x more expensive than Gemma 3 4B ($0.02/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 7.0x more expensive than Gemma 3 4B ($0.04/1M tokens).

In conclusion, DeepSeek-V2.5 is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Sat May 09 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

232.0B diff

DeepSeek-V2.5 has 232.0B more parameters than Gemma 3 4B, making it 5800.0% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Google
Gemma 3 4B
4.0Bparameters
236.0B
DeepSeek-V2.5
4.0B
Gemma 3 4B

Context Window

Maximum input and output token capacity

Gemma 3 4B accepts 131,072 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Gemma 3 4B can generate longer responses up to 131,072 tokens, while DeepSeek-V2.5 is limited to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas DeepSeek-V2.5 does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V2.5

Text
Images
Audio
Video

Gemma 3 4B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Gemma 3 4B uses Gemma.

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

DeepSeek-V2.5

deepseek

Open weights

Gemma 3 4B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Gemma 3 4B was released on 2025-03-12.

Gemma 3 4B is 10 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.0 years ago

Gemma 3 4B

Mar 12, 2025

1.2 years ago

10mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while DeepSeek-V2.5's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.

DeepSeek-V2.5

—

Gemma 3 4B

Aug 2024

Provider Availability

DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Gemma 3 4B is available from DeepInfra.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Higher GSM8k score (95.1% vs 89.2%)
Higher HumanEval score (89.0% vs 71.3%)
Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher MATH score (75.6% vs 74.7%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Google
Gemma 3 4B

FAQ

Common questions about DeepSeek-V2.5 vs Gemma 3 4B.

Which is better, DeepSeek-V2.5 or Gemma 3 4B?

DeepSeek-V2.5 shows notably better performance in the majority of benchmarks. DeepSeek-V2.5 is made by DeepSeek and Gemma 3 4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V2.5 compare to Gemma 3 4B in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%.

Is DeepSeek-V2.5 cheaper than Gemma 3 4B?

Gemma 3 4B is 7.0x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra.

What are the context window sizes for DeepSeek-V2.5 and Gemma 3 4B?

DeepSeek-V2.5 supports 8K tokens and Gemma 3 4B 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-V2.5 and Gemma 3 4B?

Key differences include context window (8K vs 131K), input pricing ($0.14 vs $0.02/M), multimodal support (no vs yes), licensing (deepseek vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Gemma 3 4B?

DeepSeek-V2.5 is developed by DeepSeek and Gemma 3 4B is developed by Google.