IBM
Granite 4.2 3B InstructOffen
IBM Granite 4.2 3B compact SLM optimized for on-device and low-latency inference.
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)
Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodik.
API deployment
Compare hosts & latency
Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Groq
Cerebras
Together AI
DeepInfra
Fireworks AI
AWS Bedrock
Azure AIErgebnisse nach Quelle
Kategorie-Punkte
Benchmark-Ergebnisse
Modelldetails
Veröffentlichungsdatum
20. Juli 2026
Parameter
3 billion
Lizenz
Open Weights
Kontextfenster
128,000 tokens
Eingabepreis
$0.08/M
Ausgabepreis
$0.2/M
Ausgabegeschwindigkeit
148 t/s
Zeit bis zum ersten Token
160 ms
Estimated monthly bill
Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...
Cite & embed
GitHub Markdown badge
[](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}
}More from IBM
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