Japanese: Comparison of Leading AI Models (Multilingual Reasoning Comparison)

Japanese language comparison and analysis of AI models across key performance metrics, including Japanese reasoning capabilities, cost, output speed, latency, context window, and more. To compare other languages, see our full Multilingual Reasoning Comparison.

Model Comparison Summary

Intelligence: Claude 3.5 Sonnet (Oct) and  DeepSeek V3 (Dec '24) are the highest quality models, followed by GPT-4o (Aug '24) & Gemini 1.5 Pro (Sep).Output Speed (tokens/s): Llama 3.3 70B (134 t/s) and  Nova Pro (133 t/s) are the fastest models, followed by o1 & GPT-4o (Aug '24).Latency (seconds): GPT-4o mini (0.36s) and   Mistral Large 2 (Nov '24) (0.40s) are the lowest latency models, followed by Llama 3.3 70B & GPT-4o (Aug '24).Price ($ per M tokens): Qwen2.5 72B ($0.00) and  GPT-4o mini ($0.26) are the cheapest models, followed by DeepSeek V3 (Dec '24) & Llama 3.3 70B.Context Window: Gemini 1.5 Pro (Sep) (2m) and  Nova Pro (300k) are the largest context window models, followed by o1 & Claude 3.5 Sonnet (Oct).

Highlights