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

Gemini 2.0 Flash
Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 2024, it represents Google's latest advancement in AI technology.

Llama 3.3 70B Instruct
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. It supports a 256K 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 2.0 Flash
2024-12-01

Llama 3.3 70B Instruct
Meta
2024-12-06
5 days newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.0 Flash

Llama 3.3 70B Instruct
Performance Metrics
Context window and performance specifications

Gemini 2.0 Flash

Llama 3.3 70B Instruct
Average performance across 3 common benchmarks

Gemini 2.0 Flash

Llama 3.3 70B Instruct
Performance comparison across key benchmark categories

Gemini 2.0 Flash

Llama 3.3 70B Instruct
Gemini 2.0 Flash
2024-08-01
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.0 Flash

Llama 3.3 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Gemini 2.0 Flash

Llama 3.3 70B Instruct