Agnes

Agnes 2.5 Pro Beta

Agnes 2.5 Pro Beta frontier model with improved reasoning, speed and instruction following.

#428dirilis 15 Feb 2025·Proprietary·Not disclosed
text131K ctx
Penyedia APIJalankan Model →Peringkat
Inteligensi
42.5 #428
AAQI 46.5
Kecepatan output
65 t/s
TTFT 320 ms · ITL 15.4 ms/tok
Harga gabungan (3:1)
$1.5 /1M
Input $1/M · Output $3/M
Konteks
131K
≈ 328 halaman A4 · output maks 8,192

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Agnes 2.5 Pro Beta
Claude Mythos Preview (#1)
Average (68)
Coding (38)Mathematics (38.5)Hard Science (GPQA) (41.5)Agentic & Tool Use (37)Knowledge (MMLU) (48)Vision / Multimodal (25)

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

Kelebihan & Trade-off

Di mana ia menang

  • Sub-400ms time-to-first-token
  • Cheap prompt-cache reads at $0.1/1M

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.
High-volume batch jobs
Classification, extraction and summarization at minimal cost per call.

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-2-5-pro-beta",
    "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
  • Prompt caching supported — cached input reads at $0.1/1M tokens.
Tanggal rilis
15 Feb 2025
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
131,000 tokens
Output maks
8,192 tokens
Modalitas
text
Harga cache
baca $0.1 · tulis $1.25 /1M
Penalaran
—
Harga input
$1/M
Harga output
$3/M
Kecepatan output
65 t/s
Waktu ke token pertama
320 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{llmpodium2026agnes25probeta,
  title = {Benchmark Analysis and Intelligence Evaluation of Agnes 2.5 Pro Beta},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/agnes-2-5-pro-beta}
}

Sematkan Lencana Skor

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

Pratinjau
Agnes 2.5 Pro Beta LLMPodium Score
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Lainnya dari Agnes

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