Model Comparison

Gemma 3 27B vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. Gemma 3 27B is 1.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3 27B outperforms in 1 benchmarks (MATH), while Llama 3.3 70B Instruct is better at 4 benchmarks (GPQA, HumanEval, IFEval, MMLU-Pro).

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

Wed Apr 29 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 2.0x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, Gemma 3 27B ($0.20/1M tokens) costs the same as Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Llama 3.3 70B Instruct is more expensive than Gemma 3 27B.*

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

Lowest available price from all providers
Wed Apr 29 2026 • llm-stats.com
Google
Gemma 3 27B
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

43.0B diff

Llama 3.3 70B Instruct has 43.0B more parameters than Gemma 3 27B, making it 159.3% larger.

Google
Gemma 3 27B
27.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
27.0B
Gemma 3 27B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Gemma 3 27B accepts 131,072 input tokens compared to Llama 3.3 70B Instruct's 128,000 tokens. Gemma 3 27B can generate longer responses up to 131,072 tokens, while Llama 3.3 70B Instruct is limited to 128,000 tokens.

Google
Gemma 3 27B
Input131,072 tokens
Output131,072 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 27B supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

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

Gemma 3 27B

Text
Images
Audio
Video

Llama 3.3 70B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 27B is licensed under Gemma, while Llama 3.3 70B Instruct uses Llama 3.3 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 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3 27B was released on 2025-03-12, while Llama 3.3 70B Instruct was released on 2024-12-06.

Gemma 3 27B is 3 months newer than Llama 3.3 70B Instruct.

Gemma 3 27B

Mar 12, 2025

1.1 years ago

3mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.4 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

Gemma 3 27B is available from DeepInfra, Novita. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

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 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher MATH score (89.0% vs 77.0%)
Meta
Higher GPQA score (50.5% vs 42.4%)
Higher HumanEval score (88.4% vs 87.8%)
Higher IFEval score (92.1% vs 90.4%)
Higher MMLU-Pro score (68.9% vs 67.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 27B
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about Gemma 3 27B vs Llama 3.3 70B Instruct

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. Gemma 3 27B is made by Google and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3 27B scores GSM8k: 95.9%, IFEval: 90.4%, MATH: 89.0%, HumanEval: 87.8%, BIG-Bench Hard: 87.6%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.
Gemma 3 27B is 2.0x cheaper for input tokens. Gemma 3 27B costs $0.10/M input and $0.20/M output via deepinfra. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.
Gemma 3 27B supports 131K tokens and Llama 3.3 70B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.10 vs $0.20/M), multimodal support (yes vs no), licensing (Gemma vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
Gemma 3 27B is developed by Google and Llama 3.3 70B Instruct is developed by Meta.