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Granite 4.2 3B InstructTerbuka

IBM Granite 4.2 3B compact SLM optimized for on-device and low-latency inference.

#435dirilis 20 Jul 2026·Open Weights·3 billion
text128K ctx
Penyedia APIDapatkan Kunci API →Peringkat
Inteligensi
42.0 #435
AAQI 36.0
Kecepatan output
148 t/s
TTFT 160 ms · ITL 6.8 ms/tok
Harga gabungan (3:1)
$0.11 /1M
Input $0.08/M · Output $0.2/M
Konteks
128K
≈ 320 halaman A4 · output maks 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Granite 4.2 3B Instruct
Claude Mythos Preview (#1)
Average (68)
Coding (35)Mathematics (38)Hard Science (GPQA) (38)Agentic & Tool Use (40)Knowledge (MMLU) (39)Vision / Multimodal (25)

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
  • 148 tok/s output — fast enough for real-time agents
  • Sub-200ms time-to-first-token
  • Very low blended price — $0.11/1M mixed tokens

Kasus Penggunaan Killer

Real-time agents
Low-latency loops for voice, gaming and interactive copilots.
High-volume batch jobs
Classification, extraction and summarization at minimal cost per call.
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-4-2-3b",
    "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 · 3 billion
  • Prompt caching supported — cached input reads at $0.01/1M tokens.
Tanggal rilis
20 Jul 2026
Arsitektur
Dense · 3 billion
Parameter
3 billion
Lisensi
Open Weights
Jendela konteks
128,000 tokens
Output maks
8,192 tokens
Modalitas
text
Harga cache
baca $0.01 · tulis $0.1 /1M
Penalaran
—
Harga input
$0.08/M
Harga output
$0.2/M
Kecepatan output
148 t/s
Waktu ke token pertama
160 ms
Data diperbarui
28 Agu 2026

Estimasi tagihan bulanan

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

Kutip & sematkan

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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}
}

Sematkan Lencana Skor

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

Pratinjau
Granite 4.2 3B Instruct LLMPodium Score
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Model Alternatif

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