Agnes

Agnes 3.0 Flash

Agnes 3.0 Flash by Sapiens AI is a high-speed frontier reasoning model with 1.0M context window and 234 tokens/sec throughput.

#408dirilis 11 Sep 2026·Proprietary·Not disclosed
textimage1.0M ctxpenalaran
Penyedia APIJalankan Model →Peringkat
Inteligensi
48.2 #408
AAQI 36.0
Kecepatan output
235 t/s
TTFT 1.83 s · ITL 4.3 ms/tok
Harga gabungan (3:1)
$0.03 /1M
Input $0.05/M · Output $0.15/M
Konteks
1.0M
≈ 2,500 halaman A4 · output maks 16,384

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Agnes 3.0 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (40)Mathematics (42)Hard Science (GPQA) (48)Agentic & Tool Use (40)Knowledge (MMLU) (42)Vision / Multimodal (45)

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

Kelebihan & Trade-off

Di mana ia menang

  • 1.0M context — swallows whole repos, codebases or corpora in one pass
  • 235 tok/s output — fast enough for real-time agents
  • Very low blended price — $0.03/1M mixed tokens
  • Cheap prompt-cache reads at $0.01/1M

Hal yang perlu diperhatikan

  • Architecture and weights undisclosed — API access only

Kasus Penggunaan Killer

Deep research
Synthesis across broad knowledge domains with citation-grade recall.
Math & proof work
Step-verified reasoning for olympiad math, theorem proving and formal verification.
Real-time agents
Low-latency loops for voice, gaming and interactive copilots.

Quickstart Developer & API

Atur OPENROUTER_API_KEY dulu — dapatkan kunci API
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "agnes/agnes-3-0-flash",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

OpenRouter-compatible endpoint — one API for 300+ models.

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
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.01/1M tokens.
Tanggal rilis
11 Sep 2026
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
1,000,000 tokens
Output maks
16,384 tokens
Modalitas
text + image
Harga cache
baca $0.01 · tulis $0.06 /1M
Penalaran
Level effort
Harga input
$0.05/M
Harga output
$0.15/M
Kecepatan output
235 t/s
Waktu ke token pertama
1.83 s
Data diperbarui
12 Sep 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{llmpodium2026agnes30flash,
  title = {Benchmark Analysis and Intelligence Evaluation of Agnes 3.0 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/agnes-3-0-flash}
}

Sematkan Lencana Skor

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

Pratinjau
Agnes 3.0 Flash LLMPodium Score
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Lainnya dari Agnes

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