Llama 3.1 70B Instruct vs QvQ-72B-Preview - AI Comparison for Builders | airank.dev

Llama 3.1 70B Instruct vs QvQ-72B-Preview

Comprehensive side-by-side LLM comparison

Llama 3.1 70B Instruct leads with 52.1% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.

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.

Alibaba Cloud / Qwen Team

QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

5 months newer

Llama 3.1 70B Instruct

Performance Metrics

Context window and performance specifications

Average performance across 22 common benchmarks

Llama 3.1 70B Instruct

Average Score:61.1%(+52.1%)

QvQ-72B-Preview

Average Score:9.0%

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.1 70B Instruct

9 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Cerebras

Throughput: 1204 tok/s

Latency: 0.2ms

DeepInfra

Throughput: 25 tok/s

Latency: 0.5ms

Fireworks

Throughput: 32 tok/s

Latency: 0.5ms

Groq

Llama 3.1 70B Instruct

Avg Score:61.1%(+52.1%)

Providers:9

QvQ-72B-Preview

Avg Score:9.0%

Providers:0