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

Gemini 2.0 Flash Thinking
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 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.

Llama 3.1 8B Instruct
Meta
2024-07-23

Gemini 2.0 Flash Thinking
2025-01-21
6 months newer
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash Thinking

Llama 3.1 8B Instruct
Average performance across 1 common benchmarks

Gemini 2.0 Flash Thinking

Llama 3.1 8B Instruct
Performance comparison across key benchmark categories

Gemini 2.0 Flash Thinking

Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Gemini 2.0 Flash Thinking
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash Thinking

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

Gemini 2.0 Flash Thinking

Llama 3.1 8B Instruct