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Nous Research
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Open weights model

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Released February 2025

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) API 제공업체 벤치마킹 및 분석

모델 비교

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) API 제공업체를 지연 시간(첫 토큰까지 걸린 시간), 출력 속도(초당 출력 토큰 수), 가격 등 성능 지표로 분석합니다. 벤치마킹한 API 제공업체로는 등이 있습니다.

가장 빠름

출력 속도

총 제공업체 0곳

가장 낮은 지연 시간

첫 토큰까지 걸린 시간

총 제공업체 0곳

가장 낮은 가격

혼합 가격(토큰 100만 개당)

총 제공업체 0곳

현재 DeepHermes 3 - Llama-3.1 8B을 제공하는 API 제공업체가 없습니다.

이 모델은 제공업체 벤치마크를 제공하지 않습니다.
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주요 내용

속도

Output tokens per second · Higher is better
No data available

종단 간 응답 시간

Seconds · Lower is better
No data available

가격

USD per 1M tokens (blended) · Lower is better
No data available

업데이트: 프로덕션 사용 사례를 더 잘 반영하도록 기본 성능 벤치마킹 워크로드를 입력 토큰 10k개로 변경했습니다. 위에서 다른 워크로드도 계속 선택할 수 있습니다.

가격

Pricing: Cache Hit, Input, and Output

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.

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better
No data available

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Output Speed vs. Price

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).

속도

출력 속도(초당 토큰 수)로 측정

Output Speed: DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)

Output speed: output tokens per second · 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 (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 vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens
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).

지연 시간

첫 토큰까지 걸린 시간(초)으로 측정

첫 토큰까지 걸린 시간

Seconds to first token received · Lower is better · 10,000 input tokens
No data available

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

종단 간 응답 시간

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

종단 간 응답 시간

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

주요 비교 지표 및 API 기능

No results.

자주 묻는 질문

DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning) 제공업체에 관한 일반적인 질문

현재 벤치마킹 대상 API 제공업체 중 DeepHermes 3 - Llama-3.1 8B Preview (Non-reasoning)을 제공하는 곳은 없습니다. 오픈 웨이트 모델이므로 자체 호스팅할 수 있습니다.