+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Llama 3.3 70B Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 14.2% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct is the stronger choice for coding tasks.
+
+
+
+
Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
3 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
+
+
+
+
+
+
+
+
+
+
+
+
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
+
+
+
+
Llama 3.3 70B Instruct
Average Score:71.2%(+14.2%)
+
+
+
+
Qwen2.5-Omni-7B
Average Score:57.0%
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:71.2%(+14.2%)
Providers:9
+
+
+
+
Qwen2.5-Omni-7B
Avg Score:57.0%
Providers:0