Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 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 405B 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 405B Instruct
Qwen3-235B-A22B-Instruct-2507
Average performance across 3 common benchmarks
Llama 3.1 405B Instruct
Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories
Llama 3.1 405B Instruct
Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate
Qwen3-235B-A22B-Instruct-2507
Llama 3.1 405B Instruct
Qwen3-235B-A22B-Instruct-2507