Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 63.8% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.

Llama 3.3 70B Instruct
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.3 70B Instruct
Meta
2024-12-06

Gemma 3 12B
2025-03-12
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemma 3 12B

Llama 3.3 70B Instruct
Performance Metrics
Context window and performance specifications

Gemma 3 12B

Llama 3.3 70B Instruct
Average performance across 5 common benchmarks

Gemma 3 12B

Llama 3.3 70B Instruct
Performance comparison across key benchmark categories

Gemma 3 12B

Llama 3.3 70B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Gemma 3 12B
DeepInfra

Llama 3.3 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Gemma 3 12B

Llama 3.3 70B Instruct