Comprehensive side-by-side LLM comparison
Gemini 2.5 Pro leads with 32.3% higher average benchmark score. Gemini 2.5 Pro offers 858.1K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $9.47 cheaper per million tokens. Gemini 2.5 Pro supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Gemini 2.5 Pro is the stronger choice for coding tasks.
Gemini 2.5 Pro was developed as Google's most intelligent AI model, designed to comprehend vast datasets and challenging problems from diverse information sources including text, audio, images, and video. Built to handle complex reasoning and multi-step problem solving, it represents Google's flagship offering for enterprise and advanced applications.
Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
10 months newer

Llama 3.1 405B Instruct
Meta
2024-07-23

Gemini 2.5 Pro
2025-05-20
Cost per million tokens (USD)

Gemini 2.5 Pro

Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 1 common benchmarks

Gemini 2.5 Pro

Llama 3.1 405B Instruct
Gemini 2.5 Pro
2025-01-31
Available providers and their performance metrics

Gemini 2.5 Pro
ZeroEval


Gemini 2.5 Pro

Llama 3.1 405B Instruct

Gemini 2.5 Pro

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