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

Gemini 1.5 Pro
Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Google's latest advancement in AI technology.

Llama 3.1 8B Instruct
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.

Gemini 1.5 Pro
2024-05-01

Llama 3.1 8B Instruct
Meta
2024-07-23
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 1.5 Pro

Llama 3.1 8B Instruct
Performance Metrics
Context window and performance specifications

Gemini 1.5 Pro

Llama 3.1 8B Instruct
Average performance across 5 common benchmarks

Gemini 1.5 Pro

Llama 3.1 8B Instruct
Performance comparison across key benchmark categories

Gemini 1.5 Pro

Llama 3.1 8B Instruct
Gemini 1.5 Pro
2023-11-01
Llama 3.1 8B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 1.5 Pro

Llama 3.1 8B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Gemini 1.5 Pro

Llama 3.1 8B Instruct