IBM

Granite 4.2 3B Instruct오픈소스

IBM Granite 4.2 3B compact SLM optimized for on-device and low-latency inference.

#370출시일: 2026년 7월 20일·Open Weights·3 billion
text128K ctx
API providers순위표
Intelligence
42.0 #370
AAQI 36.0
Output speed
148 t/s
TTFT 160 ms · ITL 6.8 ms/tok
Blended price (3:1)
$0.11 /1M
In $0.08/M · Out $0.2/M
Context
128K
≈ 320 A4 pages · max out 8192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Granite 4.2 3B Instruct
Claude Mythos Preview (#1)
Average (68)
Coding (35)Mathematics (38)Hard Science (GPQA) (38)Agentic & Tool Use (40)Knowledge (MMLU) (39)Vision / Multimodal (25)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see 평가 방법.

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
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출처별 점수

모델 상세 정보

출시일
2026년 7월 20일
파라미터 수
3 billion
라이선스
Open Weights
컨텍스트 창
128,000 tokens
입력 가격
$0.08/M
출력 가격
$0.2/M
출력 속도
148 t/s
첫 토큰 생성 시간
160 ms

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

GitHub Markdown badge
[![LLMPodium Rank](https://llmpodium.com/badge/granite-4-2-3b/rank.svg)](https://llmpodium.com/models/granite-4-2-3b)
BibTeX
@misc{llmpodium2026granite423b,
  title = {Benchmark Analysis and Intelligence Evaluation of Granite 4.2 3B Instruct},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/granite-4-2-3b}
}

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대체 모델

성능, 가격 및 벤치마크 점수를 기반으로 한 Granite 4.2 3B Instruct의 주요 대체 모델.

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