Amazon

Nova 2.0 Pro Previewpratinjau

Name: Nova 2.0 Pro Preview
Price: 3.2 USD
Rating: 14.4 (10 reviews)
Author: Amazon

Amazon's next-generation Nova model with strong reasoning and 1M context.

#593dirilis 20 Apr 2026·Proprietary·Not disclosed

textimage1.0M ctx

Penyedia API Dapatkan Kunci API →Peringkat

Inteligensi

14.4 #593

Tingkat 80% teratas

Kecepatan output

40 t/s

ITL 25.0 ms/tok

Harga gabungan (3:1)

$1.4 /1M

Input $0.8/M · Output $3.2/M

Konteks

1.0M

≈ 2,500 halaman A4 · output maks 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Nova 2.0 Pro Preview

Claude Mythos Preview (#1)

Average (68)

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

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

Arena.ai ↗

—

Artificial Analysis ↗

Skor per kategori

Context90.0 LongContext80.0 Safety54.0 Instruction54.0 Intelligence50.0 Arena50.0 Nilai46.0 Penalaran43.0 Kecepatan40.0 Coding39.0 Multimodal36.0 Agents36.0 Pengetahuan-49.5

Hasil benchmark

ContextWindowSize1000000%

Ifeval54%

Mmlu48%

GPQA Diamond46%

GpqaDiamond46%

Mmlupro43%

Math50041%

LiveCodeBench39%SWE-Bench Verified32%

Aime202530%

Detail model

Tanggal rilis

20 Apr 2026

Parameter

Not disclosed

Lisensi

Proprietary

Jendela konteks

1,000,000 tokens

Harga input

$0.8/M

Harga output

$3.2/M

Kecepatan output

40 t/s

Waktu ke token pertama

—

Estimasi tagihan bulanan

Permintaan API bulanan: 100,000Token input rata-rata: 1,500Token output rata-rata: 500Rasio hit cache prompt: 50%

Estimasi pengeluaran bulanan

$0.00

Menghitung penghematan vs GPT-4o…

Kutip & sematkan

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BibTeX

@misc{llmpodium2026nova20pro,
  title = {Benchmark Analysis and Intelligence Evaluation of Nova 2.0 Pro Preview},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/nova-2-0-pro}
}

Sematkan Lencana Skor

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

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