可以在哪里使用 Muse Wonder Full (Max)？

Artificial Analysis

Muse Wonder Full (Max) API 服务商基准测试与分析

模型比较

本分析旨在帮助你根据使用场景，选择 Muse Wonder Full (Max) 的最佳 API 服务商。

速度最快

输出速度

共 0 家服务商

延迟最低

首个答案 Token 延迟

共 0 家服务商

价格最低

每 100 万 token 的混合价格

共 0 家服务商

目前没有可用的 Muse Wonder Full (max) API 服务商。

该模型暂无服务商基准测试数据。

有关模型详情及其与其他模型的智能比较，请参阅 Muse Wonder Full (Max) 的模型页面。

速度

Output tokens per second · Higher is better

No data available

延迟

Seconds to first answer token received · Lower is better

No data available

价格

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

No data available

更新：默认性能基准测试工作负载已调整为 1 万个输入 token，以更贴近生产使用场景。你仍可在上方选择其他工作负载。

价格

价格：缓存命中、输入和输出: Muse Wonder Full (Max)

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

No data available

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.

每项 Intelligence Index 任务的成本: Muse Wonder Full (Max)

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

No data available

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

输出速度与价格: Muse Wonder Full (Max)

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)

Most attractive quadrant

No data available

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).

速度

按输出速度（每秒 token 数）衡量

输出速度: Muse Wonder Full (Max)

输出速度：每秒输出 token 数 · 10,000 input tokens

No data available

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 or the median across providers where a first-party API is not available.

Intelligence Index 每项任务耗时: Muse Wonder Full (Max)

Weighted average decode time (minutes) per Intelligence Index task · Excludes TTFT and overhead time · Lower is better

No data available

The weighted average time (seconds) per Artificial Analysis Intelligence Index task. This is calculated by dividing output tokens per task by output speed, weighted by the relative weights of each benchmark in the Intelligence Index.

每任务成本与每任务耗时: Muse Wonder Full (Max)

Weighted average cost (USD) per Intelligence Index task · Weighted average decode time (minutes) per Intelligence Index task

Most attractive quadrant

No data available

延迟

按首 Token 延迟（秒）衡量

首个答案 Token 延迟: Muse Wonder Full (Max)

Seconds to first token received · Lower is better · 10,000 input tokens

No data available

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.

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

端到端响应时间

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

端到端响应时间: Muse Wonder Full (Max)

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens

No data available

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

关键比较指标与 API 功能



No results.

常见问题

关于 Muse Wonder Full (Max) 服务商的常见问题

目前我们进行基准测试的 API 服务商均未提供 Muse Wonder Full (Max)。请稍后查看可用性更新。

Muse Wonder Full (Max) API 服务商基准测试与分析

速度最快

延迟最低

价格最低

速度

延迟

价格

价格

价格：缓存命中、输入和输出: Muse Wonder Full (Max)

Cache Hit

每项 Intelligence Index 任务的成本: Muse Wonder Full (Max)

Cost per Intelligence Index Task

输出速度与价格: Muse Wonder Full (Max)

Output Speed

速度

输出速度: Muse Wonder Full (Max)

Output Speed

Model Performance Representation

Intelligence Index 每项任务耗时: Muse Wonder Full (Max)

Time per Intelligence Index Task

每任务成本与每任务耗时: Muse Wonder Full (Max)

Cost per Intelligence Index Task

延迟

首个答案 Token 延迟: Muse Wonder Full (Max)

Time to First Answer Token

Median

端到端响应时间

端到端响应时间: Muse Wonder Full (Max)

End-to-End Response Time

关键比较指标与 API 功能

常见问题

可以在哪里使用 Muse Wonder Full (Max)？