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.
Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.
Llama 3.1 70B Instruct
Meta
2024-07-23
Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
12 months newer
Performance Metrics
Context window and performance specifications
Llama 3.1 70B Instruct
Qwen3-235B-A22B-Instruct-2507
Average performance across 3 common benchmarks
Llama 3.1 70B Instruct
Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories
Llama 3.1 70B Instruct
Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
Qwen3-235B-A22B-Instruct-2507
Llama 3.1 70B Instruct
Qwen3-235B-A22B-Instruct-2507