IBM

Granite 4.2 30B InstructAberto

IBM Granite 4.2 30B enterprise open foundation model optimized for coding and tool calling.

#289lançado 20 de jul. de 2026·Open Weights·30 billion
textimage128K ctx
API providersRanking
Intelligence
58.6 #289
AAQI 51.0
Output speed
78 t/s
TTFT 280 ms · ITL 12.8 ms/tok
Blended price (3:1)
$0.6 /1M
In $0.4/M · Out $1.2/M
Context
128K
≈ 320 A4 pages · max out 8192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Granite 4.2 30B Instruct
Claude Mythos Preview (#1)
Average (68)
Coding (56)Mathematics (54.6)Hard Science (GPQA) (54.5)Agentic & Tool Use (58)Knowledge (MMLU) (52)Vision / Multimodal (56.6)

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

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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Pontuações por fonte

Detalhes do modelo

Data de lançamento
20 de jul. de 2026
Parâmetros
30 billion
Licença
Open Weights
Janela de contexto
128,000 tokens
Preço de entrada
$0.4/M
Preço de saída
$1.2/M
Velocidade de saída
78 t/s
Tempo até o primeiro token
280 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-4-2-30b/rank.svg)](https://llmpodium.com/models/granite-4-2-30b)
BibTeX
@misc{llmpodium2026granite4230b,
  title = {Benchmark Analysis and Intelligence Evaluation of Granite 4.2 30B Instruct},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/granite-4-2-30b}
}

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