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

Gemini 2.5 Flash
Gemini 2.5 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 14 benchmarks. It excels particularly in Global-MMLU-Lite (88.4%), AIME 2024 (88.0%), FACTS Grounding (85.3%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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 70B Instruct
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). 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.

Llama 3.1 70B Instruct
Meta
2024-07-23

Gemini 2.5 Flash
2025-05-20
10 months newer
Pricing Comparison
Cost per million tokens (USD)

Gemini 2.5 Flash

Llama 3.1 70B Instruct
Performance Metrics
Context window and performance specifications

Gemini 2.5 Flash

Llama 3.1 70B Instruct
Average performance across 1 common benchmarks

Gemini 2.5 Flash

Llama 3.1 70B Instruct
Performance comparison across key benchmark categories

Gemini 2.5 Flash

Llama 3.1 70B Instruct
Gemini 2.5 Flash
2025-01-31
Provider Availability & Performance
Available providers and their performance metrics

Gemini 2.5 Flash
ZeroEval

Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Gemini 2.5 Flash

Llama 3.1 70B Instruct