Model Comparison

Gemma 3 27B vs Llama 4 Maverick

Llama 4 Maverick significantly outperforms across most benchmarks. Gemma 3 27B is 2.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Gemma 3 27B outperforms in 1 benchmarks (MATH), while Llama 4 Maverick is better at 6 benchmarks (ChartQA, DocVQA, GPQA, LiveCodeBench, MBPP, MMLU-Pro).

Llama 4 Maverick 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, Gemma 3 27B ($0.10/1M tokens) is 1.7x cheaper than Llama 4 Maverick ($0.17/1M tokens).

For output processing, Gemma 3 27B ($0.20/1M tokens) is 3.0x cheaper than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, Llama 4 Maverick 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
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

373.0B diff

Llama 4 Maverick has 373.0B more parameters than Gemma 3 27B, making it 1381.5% larger.

Google
Gemma 3 27B
27.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
27.0B
Gemma 3 27B
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Llama 4 Maverick accepts 1,000,000 input tokens compared to Gemma 3 27B's 131,072 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Gemma 3 27B is limited to 131,072 tokens.

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Mon May 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 27B and Llama 4 Maverick support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3 27B

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while Llama 4 Maverick uses Llama 4 Community License Agreement.

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

Gemma 3 27B

Gemma

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Llama 4 Maverick was released on 2025-04-05.

Llama 4 Maverick is 1 month newer than Gemma 3 27B.

Gemma 3 27B

Mar 12, 2025

1.2 years ago

Llama 4 Maverick

Apr 5, 2025

1.1 years ago

3w 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

Gemma 3 27B is available from DeepInfra, Novita. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

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

Llama 4 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Higher MATH score (89.0% vs 61.2%)
Meta
Larger context window (1,000,000 tokens)
Higher ChartQA score (90.0% vs 78.0%)
Higher DocVQA score (94.4% vs 86.6%)
Higher GPQA score (69.8% vs 42.4%)
Higher LiveCodeBench score (43.4% vs 29.7%)
Higher MBPP score (77.6% vs 74.4%)
Higher MMLU-Pro score (80.5% vs 67.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Meta
Llama 4 Maverick

FAQ

Common questions about Gemma 3 27B vs Llama 4 Maverick.

Which is better, Gemma 3 27B or Llama 4 Maverick?

Llama 4 Maverick significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3 27B compare to Llama 4 Maverick in benchmarks?

Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is Gemma 3 27B cheaper than Llama 4 Maverick?

Gemma 3 27B is 1.7x cheaper for input tokens. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.

What are the context window sizes for Gemma 3 27B and Llama 4 Maverick?

Gemma 3 27B supports 131K tokens and Llama 4 Maverick 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 Gemma 3 27B and Llama 4 Maverick?

Key differences include context window (131K vs 1.0M), input pricing ($0.10 vs $0.17/M), licensing (Gemma vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 27B and Llama 4 Maverick?

Gemma 3 27B is developed by Google and Llama 4 Maverick is developed by Meta.