Comprehensive side-by-side LLM comparison
Gemma 3 4B leads with 6.8% higher average benchmark score. Both models have similar pricing. Gemma 3 4B supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Gemma 3 4B is the stronger choice for coding tasks.
Gemma 3 4B is a multimodal language model developed by Google. The model shows competitive results across 26 benchmarks. It excels particularly in IFEval (90.2%), GSM8k (89.2%), DocVQA (75.8%). 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.
Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K 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.
7 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Gemma 3 4B
2025-03-12
Cost per million tokens (USD)
Gemma 3 4B
Llama 3.1 8B Instruct
Context window and performance specifications
Average performance across 40 common benchmarks
Gemma 3 4B
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Gemma 3 4B
2024-08-01
Available providers and their performance metrics
Gemma 3 4B
DeepInfra
Llama 3.1 8B Instruct
Gemma 3 4B
Llama 3.1 8B Instruct
Gemma 3 4B
Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together