Model Comparison

DeepSeek-V3 vs Gemma 3 27B

DeepSeek-V3 significantly outperforms across most benchmarks. Gemma 3 27B is 3.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA), while Gemma 3 27B is better at 1 benchmark (IFEval).

DeepSeek-V3 significantly outperforms across most benchmarks.

Mon May 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 27B costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 2.7x more expensive than Gemma 3 27B ($0.10/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 5.5x more expensive than Gemma 3 27B ($0.20/1M tokens).

In conclusion, DeepSeek-V3 is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Mon May 11 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

644.0B diff

DeepSeek-V3 has 644.0B more parameters than Gemma 3 27B, making it 2385.2% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Google
Gemma 3 27B
27.0Bparameters
671.0B
DeepSeek-V3
27.0B
Gemma 3 27B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Mon May 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas DeepSeek-V3 does not.

Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Gemma 3 27B uses Gemma.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Gemma 3 27B was released on 2025-03-12.

Gemma 3 27B is 3 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.4 years ago

Gemma 3 27B

Mar 12, 2025

1.2 years ago

2mo newer

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 is available from DeepSeek. Gemma 3 27B is available from DeepInfra, Novita.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Gemma 3 27B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
novita logo
Novita
Input Price:Input: $0.11/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Higher GPQA score (59.1% vs 42.4%)
Higher LiveCodeBench score (37.6% vs 29.7%)
Higher MMLU-Pro score (75.9% vs 67.5%)
Higher SimpleQA score (24.9% vs 10.0%)
Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher IFEval score (90.4% vs 86.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
Google
Gemma 3 27B

FAQ

Common questions about DeepSeek-V3 vs Gemma 3 27B.

Which is better, DeepSeek-V3 or Gemma 3 27B?

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and Gemma 3 27B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3 compare to Gemma 3 27B in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.

Is DeepSeek-V3 cheaper than Gemma 3 27B?

Gemma 3 27B is 2.7x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 and Gemma 3 27B?

DeepSeek-V3 supports 131K tokens and Gemma 3 27B 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 and Gemma 3 27B?

Key differences include input pricing ($0.27 vs $0.10/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Gemma 3 27B?

DeepSeek-V3 is developed by DeepSeek and Gemma 3 27B is developed by Google.