分析の概要

視覚推論と画像入力料金

Visual reasoning intelligence: MMMU Pro evaluation · Image input price: USD per 1k images at 1MP (1024x1024)

Most attractive quadrant

Based on the MMMU Pro evaluation of 1.7k questions, this represents the model's ability to interpret and reason over images.

Price for 1,000 images at a resolution of 1 Megapixel (1024 x 1024) processed by the model.

視覚推論と遅延（画像1枚と1,000言語トークンの入力）

Visual reasoning intelligence: MMMU Pro evaluation · Seconds to first token received

Most attractive quadrant

Based on the MMMU Pro evaluation of 1.7k questions, this represents the model's ability to interpret and reason over images.

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.

知能

視覚推論の知能（MMMU Pro評価）

Visual reasoning intelligence: MMMU Pro evaluation

Multimodal reasoning quality evaluation based on 1.7k questions which require interpreting and reasoning over images.

料金

Pricing: Image Input Pricing

Image input price: USD per 1k images at 1MP (1024x1024)

Price for 1,000 images at a resolution of 1 Megapixel (1024 x 1024) processed by the model.

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).

料金：言語入力、画像入力、言語出力

Price (USD per M Tokens) · Image input price: USD per 1k images at 1MP (1024x1024) · Lower is better

Price per token included in the request/message sent to the API, represented as USD per million Tokens.

遅延と速度

遅延（画像1枚と1,000言語トークンの入力）

Seconds to first token received · Lower is better

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.

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).

遅延のばらつき（画像1枚と1,000言語トークンの入力）

Seconds to first token received · Results by percentile · Lower is better

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. For models which do not support streaming, this represents time to receive the completion.

出力速度（画像1枚と1,000言語トークンの入力）

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).

ビジョンモデル：画像入力に対応するLLM

知能

速度

料金

分析の概要

視覚推論と画像入力料金

Visual Reasoning

Price per 1k 1MP Images

視覚推論と遅延（画像1枚と1,000言語トークンの入力）

Visual Reasoning

Latency (Time to First Token)

知能

視覚推論の知能（MMMU Pro評価）

MMMU Pro

料金

Pricing: Image Input Pricing

Price per 1k 1MP Images

Model Performance Representation

料金：言語入力、画像入力、言語出力

Input Price

遅延と速度

遅延（画像1枚と1,000言語トークンの入力）

Latency (Time to First Token)

Model Performance Representation

遅延のばらつき（画像1枚と1,000言語トークンの入力）

Latency (Time to First Token)

Boxplot

出力速度（画像1枚と1,000言語トークンの入力）

Output Speed

Model Performance Representation