Model Comparison

DeepSeek-R1-0528 vs Gemma 3 27BWhich is better in 2026?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. Gemma 3 27B is 7.3x cheaper per token.

Verdict: DeepSeek-R1-0528 vs Gemma 3 27B — which is better?

DeepSeek-R1-0528 (by DeepSeek) and Gemma 3 27B (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-R1-0528 outperforms in 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA), while Gemma 3 27B is better at 0 benchmarks. DeepSeek-R1-0528 significantly outperforms across most benchmarks.

On price, Gemma 3 27B is roughly 7.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose DeepSeek-R1-0528 if…

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped May 2025

Choose Gemma 3 27B if…

  • cost matters — it's about 7.3x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-R1-0528 outperforms in 4 benchmarks (GPQA, LiveCodeBench, MMLU-Pro, SimpleQA), while Gemma 3 27B is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Sat Jun 13 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-R1-0528 ($0.50/1M tokens) is 5.0x more expensive than Gemma 3 27B ($0.10/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 10.7x more expensive than Gemma 3 27B ($0.20/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
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Model Size

Parameter count comparison

644.0B diff

DeepSeek-R1-0528 has 644.0B more parameters than Gemma 3 27B, making it 2385.2% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Google
Gemma 3 27B
27.0Bparameters
671.0B
DeepSeek-R1-0528
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-R1-0528
Input131,072 tokens
Output131,072 tokens
Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

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

DeepSeek-R1-0528

Text
Images
Audio
Video

Gemma 3 27B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Gemma 3 27B uses Gemma.

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

DeepSeek-R1-0528

MIT

Open weights

Gemma 3 27B

Gemma

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Gemma 3 27B was released on 2025-03-12.

DeepSeek-R1-0528 is 3 months newer than Gemma 3 27B.

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

2mo newer
Gemma 3 27B

Mar 12, 2025

1.3 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-R1-0528 is available from DeepInfra, DeepSeek, Novita. Gemma 3 27B is available from DeepInfra, Novita.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

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

Higher GPQA score (81.0% vs 42.4%)
Higher LiveCodeBench score (73.3% vs 29.7%)
Higher MMLU-Pro score (85.0% vs 67.5%)
Higher SimpleQA score (92.3% vs 10.0%)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Google
Gemma 3 27B

FAQ

Common questions about DeepSeek-R1-0528 vs Gemma 3 27B.

Which is better, DeepSeek-R1-0528 or Gemma 3 27B?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 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-R1-0528 compare to Gemma 3 27B in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%.

Is DeepSeek-R1-0528 cheaper than Gemma 3 27B?

Gemma 3 27B is 5.0x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra.

What are the context window sizes for DeepSeek-R1-0528 and Gemma 3 27B?

DeepSeek-R1-0528 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-R1-0528 and Gemma 3 27B?

Key differences include input pricing ($0.50 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and Gemma 3 27B?

DeepSeek-R1-0528 is developed by DeepSeek and Gemma 3 27B is developed by Google.