AI 모델 인텔리전스

mistral-small-4-119b-2603

nvidia/small-4-119b-2603

제공: NVIDIA · 출시 2026-03-16

⚠ 이 모델은 커뮤니티 파인튜닝 / 파생본으로, 벤더 공식 릴리스가 아닙니다.

미공개
입력 / 1M 토큰
미공개
출력 / 1M 토큰
128K
컨텍스트 창
8K
최대 출력

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

기능

도구 호출추론? 구조화 출력첨부오픈 웨이트온도 제어
모달리티: 입력 text · 출력 text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding43
  • Tool calling40/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents41
  • Tool calling35/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability1/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context35
  • Context window (100K → 2M)35/90
  • Has published price for full window0/10
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

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Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

1곳 제공사에서 이용 가능

제공자제공자 모델 ID입력 / 1M출력 / 1M컨텍스트출시일
Nvidia
nvidia
mistralai/mistral-small-4-119b-2603UnknownUnknown128K2026-03-16

Frequently asked questions

How much does mistral-small-4-119b-2603 cost?

mistral-small-4-119b-2603 does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check NVIDIA's official pricing page for the most current rates.

What is the context window of mistral-small-4-119b-2603?

mistral-small-4-119b-2603 has a context window of 128K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does mistral-small-4-119b-2603 support tool calling?

Yes. mistral-small-4-119b-2603 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does mistral-small-4-119b-2603 support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for mistral-small-4-119b-2603 in our data source. Verify with NVIDIA's official documentation before relying on it in production.

Can mistral-small-4-119b-2603 accept image input?

No. mistral-small-4-119b-2603 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is mistral-small-4-119b-2603 open-weight?

Yes. mistral-small-4-119b-2603's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to mistral-small-4-119b-2603?

If mistral-small-4-119b-2603 doesn't fit, consider Nemotron 3 Super, nemotron-3-nano-30b-a3b, nvidia-nemotron-nano-9b-v2. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

마지막 업데이트:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.