IBM

Granite 4.2 8B InstructOuvert

IBM Granite 4.2 8B lightweight enterprise foundation model with high throughput and low cost.

#338publié le 20 juil. 2026·Open Weights·8 billion
text128K ctx
API providersClassement
Intelligence
49.2 #338
AAQI 43.0
Output speed
115 t/s
TTFT 200 ms · ITL 8.7 ms/tok
Blended price (3:1)
$0.22 /1M
In $0.15/M · Out $0.45/M
Context
128K
≈ 320 A4 pages · max out 8192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Granite 4.2 8B Instruct
Claude Mythos Preview (#1)
Average (68)
Coding (44)Mathematics (45.2)Hard Science (GPQA) (46)Agentic & Tool Use (42)Knowledge (MMLU) (45)Vision / Multimodal (25)

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

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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Scores par Source

Détails du Modèle

Date de Sortie
20 juil. 2026
Paramètres
8 billion
Licence
Open Weights
Fenêtre de Contexte
128,000 tokens
Prix Entrée
$0.15/M
Prix Sortie
$0.45/M
Vitesse Sortie
115 t/s
Temps au Premier Token
200 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-4-2-8b/rank.svg)](https://llmpodium.com/models/granite-4-2-8b)
BibTeX
@misc{llmpodium2026granite428b,
  title = {Benchmark Analysis and Intelligence Evaluation of Granite 4.2 8B Instruct},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/granite-4-2-8b}
}

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