日本語 - AIモデルベンチマーク多言語LLMの性能を比較

日本語のタスクで上位5つのAIモデルは、Gemini 3.1 Pro Preview、Gemini 3 Pro Preview (high)、Claude Opus 4.6 (max)、Claude Opus 4.6 (Non-reasoning, high)、Claude Opus 4.5です。Artificial Analysis Multilingual Indexで、日本語の推論スコアが最も高いモデルです。

対応するすべての言語で性能を比較するには、多言語AIモデルベンチマークのページをご覧ください。

🇯🇵 日本語の上位モデル

Gemini 3.1 Pro Preview

94#2

Gemini 3 Pro Preview (high)

93#3

Claude Opus 4.6 (max)

93#4

Claude Opus 4.6 (Non-reasoning, high)

93#5

Claude Opus 4.5

ハイライト

知能

Multilingual Index: Japanese · Higher is better

速度

Output tokens per second · Higher is better

料金

USD per 1M tokens (blended) · Lower is better

Multilingual Index

Multilingual Index：日本語

Artificial Analysis Multilingual Index · Higher is better

Based on the Global-MMLU-Lite evaluation, assessing general reasoning performance in a single language. Results are computed exclusively within the selected language. See methodology for further details.

Multilingual Index：日本語と料金

Artificial Analysis Multilingual Index · USD per 1M tokens (blended)

Most attractive quadrant

While higher intelligence models are typically more expensive, they do not all follow the same price-quality curve.

Multilingual Index：日本語と出力速度

Artificial Analysis Multilingual Index · Output speed: output tokens per second

Most attractive quadrant

There is a trade-off between model quality and output speed, with higher intelligence models typically having lower output speed.

Multilingual Index：日本語とコンテキストウィンドウ

Artificial Analysis Multilingual Index · Context window: tokens limit

Most attractive quadrant

Global-MMLU-Lite

多言語Global-MMLU-Lite：日本語

Multilingual Global-MMLU-Lite · Higher is better

A multilingual version of Massive Multitask Language Understanding, evaluated across multiple languages. Tests general knowledge and reasoning ability in areas like science, humanities, mathematics and more. See methodology for further details.

料金

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens)

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

速度と遅延

Output Speed

Output tokens per second · Higher is better

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better

Seconds to receive a 500 token response. Key components:

Input time: Time to receive the first response token
Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
Answer time: Time to generate 500 output tokens, based on output speed

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

日本語 - AIモデルベンチマーク 多言語LLMの性能を比較

🇯🇵 日本語の上位モデル

知能

速度

料金

Multilingual Index

Multilingual Index：日本語

Per-Language Reasoning Index

Multilingual Index：日本語と料金

Price-Quality Variance

Multilingual Index：日本語と出力速度

Intelligence vs. Speed Trade-off

Multilingual Index：日本語とコンテキストウィンドウ

Per-Language Reasoning Index

Global-MMLU-Lite

多言語Global-MMLU-Lite：日本語

Global-MMLU-Lite

料金

Pricing: Cache Hit, Input, and Output

Cache Hit

速度と遅延

Output Speed

Output Speed

Model Performance Representation

Latency: Time To First Answer Token

Time to First Answer Token

End-to-End Response Time

End-to-End Response Time

Model Performance Representation

日本語 - AIモデルベンチマーク多言語LLMの性能を比較