IBM

Granite 4.2 30B InstructTerbuka

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

#350dirilis 20 Jul 2026·Open Weights·30 billion
textimage128K ctx
Penyedia APIDapatkan Kunci API →Peringkat
Inteligensi
58.6 #350
AAQI 51.0
Kecepatan output
78 t/s
TTFT 280 ms · ITL 12.8 ms/tok
Harga gabungan (3:1)
$0.6 /1M
Input $0.4/M · Output $1.2/M
Konteks
128K
≈ 320 halaman A4 · output maks 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)

Sumbu radar diaproksimasi dari skor kategori jika pengukuran benchmark langsung tidak tersedia — lihat Metodologi.

Kelebihan & Trade-off

Di mana ia menang

  • 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

Kasus Penggunaan Killer

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.

Quickstart Developer & API

Atur HF_TOKEN dulu — dapatkan kunci API
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."}]
  }'

Sumber Daya & Tautan Resmi

Deployment API

Bandingkan host & latensi

Throughput, TTFT, dan harga cache di Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock, dan Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Lihat matriks penyedia →

Skor per sumber

Spesifikasi Live & Arsitektur

Di balik kap
Dense · 30 billion
  • Prompt caching supported — cached input reads at $0.05/1M tokens.
Tanggal rilis
20 Jul 2026
Arsitektur
Dense · 30 billion
Parameter
30 billion
Lisensi
Open Weights
Jendela konteks
128,000 tokens
Output maks
8,192 tokens
Modalitas
text + image
Harga cache
baca $0.05 · tulis $0.5 /1M
Penalaran
—
Harga input
$0.4/M
Harga output
$1.2/M
Kecepatan output
78 t/s
Waktu ke token pertama
280 ms
Data diperbarui
28 Agu 2026

Estimasi tagihan bulanan

Estimasi pengeluaran bulanan
$0.00
Menghitung penghematan vs GPT-4o…

Kutip & sematkan

Badge Markdown GitHub
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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}
}

Sematkan Lencana Skor

Tambahkan lencana Podium Score langsung ke README GitHub atau Hugging Face Anda — menautkan ke peringkat langsung.

Pratinjau
Granite 4.2 30B Instruct LLMPodium Score
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