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

Gemini 2.5 Flash-Lite
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). With a 1.1M 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 2025, it represents Google's latest advancement in AI technology.

Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.1 405B Instruct
Meta
2024-07-23

Gemini 2.5 Flash-Lite
2025-06-17
10 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash-Lite

Llama 3.1 405B Instruct
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash-Lite

Llama 3.1 405B Instruct
Average performance across 1 common benchmarks

Gemini 2.5 Flash-Lite

Llama 3.1 405B Instruct
Performance comparison across key benchmark categories

Gemini 2.5 Flash-Lite

Llama 3.1 405B Instruct
Gemini 2.5 Flash-Lite
2025-01-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash-Lite

Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate

Gemini 2.5 Flash-Lite

Llama 3.1 405B Instruct