Llama 3.3 70B Instruct vs Qwen2.5-Omni-7B - AI Comparison for Builders | airank.dev

Llama 3.3 70B Instruct vs Qwen2.5-Omni-7B

Comprehensive side-by-side LLM comparison

Qwen2.5-Omni-7B leads with 38.9% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.

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%). 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

Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

3 months newer

Llama 3.3 70B Instruct

Performance Metrics

Context window and performance specifications

Average performance across 50 common benchmarks

Llama 3.3 70B Instruct

Average Score:14.4%

Qwen2.5-Omni-7B

Average Score:53.3%(+38.9%)

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.3 70B Instruct

9 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Cerebras

Throughput: 2220 tok/s

Latency: 0.65ms

DeepInfra

Throughput: 37 tok/s

Latency: 0.65ms

Fireworks

Throughput: 197 tok/s

Latency: 0.65ms

Groq

Llama 3.3 70B Instruct

Avg Score:14.4%

Providers:9

Qwen2.5-Omni-7B

Avg Score:53.3%(+38.9%)

Providers:0