Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME25 (87.8%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. 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.
Llama 3.1 70B Instruct
Meta
2024-07-23
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-01-10
5 months newer
Pricing Comparison
Cost per million tokens (USD)
Llama 3.1 70B Instruct
Qwen3-Next-80B-A3B-Thinking
Performance Metrics
Context window and performance specifications
Llama 3.1 70B Instruct
Qwen3-Next-80B-A3B-Thinking
Average performance across 3 common benchmarks
Llama 3.1 70B Instruct
Qwen3-Next-80B-A3B-Thinking
Performance comparison across key benchmark categories
Llama 3.1 70B Instruct
Qwen3-Next-80B-A3B-Thinking
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
Qwen3-Next-80B-A3B-Thinking
Novita
Llama 3.1 70B Instruct
Qwen3-Next-80B-A3B-Thinking