IBM

Granite 4.2 30B InstructOpen

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

#350released Jul 20, 2026·Open Weights·30 billion
textimage128K ctx
API providersGet API Key →Leaderboard
Intelligence
58.6 #350
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 8,192

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 Methodology.

Strengths & Trade-offs

Where it wins

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • Sub-400ms time-to-first-token
  • Very low blended price — $0.6/1M mixed tokens
  • Cheap prompt-cache reads at $0.05/1M

Killer Use Cases

SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.
Terminal & computer-use agents
Plans and executes multi-tool workflows — shells, browsers and desktop control.
On-prem deployment
Air-gapped and regulated-environment serving on your own hardware.

Developer Quickstart & API

Set HF_TOKEN first — get an API key
curl https://router.huggingface.co/v1/chat/completions \
  -H "Authorization: Bearer $HF_TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "model": "granite-4-2-30b",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

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

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Live Specs & Architecture

Under the hood
Dense · 30 billion
  • Prompt caching supported — cached input reads at $0.05/1M tokens.
Release date
Jul 20, 2026
Architecture
Dense · 30 billion
Parameters
30 billion
License
Open Weights
Context Window
128,000 tokens
Max Output
8,192 tokens
Modalities
text + image
Cache Pricing
read $0.05 · write $0.5 /1M
Reasoning
—
Input Price
$0.4/M
Output Price
$1.2/M
Output Speed
78 t/s
Time to First Token
280 ms
Data Updated
Aug 28, 2026

Estimated monthly bill

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

Cite & embed

GitHub Markdown badge
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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}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Granite 4.2 30B Instruct LLMPodium Score
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