Gemini 2.0 Flash Thinking vs Llama 3.1 8B Instruct - AI Comparison for Builders | airank.dev

Gemini 2.0 Flash Thinking vs Llama 3.1 8B Instruct

Comprehensive side-by-side LLM comparison

Llama 3.1 8B Instruct leads with 44.0% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Llama 3.1 8B Instruct is the stronger choice for coding tasks.

Google

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.

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.

6 months newer

Llama 3.1 8B Instruct

Performance Metrics

Context window and performance specifications

Average performance across 20 common benchmarks

Gemini 2.0 Flash Thinking

Average Score:11.1%

Llama 3.1 8B Instruct

Average Score:55.2%(+44.0%)

Knowledge Cutoff

Training data recency comparison

Llama 3.1 8B Instruct

2023-12-31

Gemini 2.0 Flash Thinking

2024-08-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemini 2.0 Flash Thinking

0 providers

Llama 3.1 8B Instruct

9 providers

Bedrock

Gemini 2.0 Flash Thinking

Avg Score:11.1%

Providers:0

Llama 3.1 8B Instruct

Avg Score:55.2%(+44.0%)

Providers:9