This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

NVIDIA has launched a newer model, Llama Nemotron Super 49B v1.5. We suggest considering it instead.

For more information, see comparison of Llama Nemotron Super 49B v1.5 to other models and API provider benchmarks for Llama Nemotron Super 49B v1.5.

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NVIDIA
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Llama 3.3 Nemotron Super 49B v1
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Open weights model

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Released 2025년 3월

Llama 3.3 Nemotron Super 49B v1 (Non-reasoning) API 제공업체 벤치마킹 및 분석

모델 비교

이 분석은 사용 사례에 가장 적합한 Llama 3.3 Nemotron Super 49B v1 (Non-reasoning) API 제공업체를 선택하는 데 도움을 드립니다.

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 Llama 3.3 Nemotron Super 49B을 제공하는 API 제공업체가 없습니다.

이 모델은 제공업체 벤치마크를 제공하지 않습니다.

모델 세부 정보와 다른 모델 대비 지능은 Llama 3.3 Nemotron Super 49B v1 (Non-reasoning) 모델 페이지에서 확인하세요.

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

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: Llama 3.3 Nemotron Super 49B v1 (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

Llama 3.3 Nemotron Super 49B v1 (Non-reasoning) 제공업체에 관한 일반적인 질문

현재 벤치마킹 대상 API 제공업체 중 Llama 3.3 Nemotron Super 49B v1 (Non-reasoning)을 제공하는 곳은 없습니다. 오픈 웨이트 모델이므로 자체 호스팅할 수 있습니다.