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.

#408rilasciato il 11 set 2026·Proprietary·Not disclosed
textimage1.0M ctxreasoning
Provider APIEsegui modello →Classifica
Intelligenza
48.2 #408
AAQI 36.0
Velocità Uscita
235 t/s
TTFT 1.83 s · ITL 4.3 ms/tok
Prezzo combinato (3:1)
$0.03 /1M
Input $0.05/M · Output $0.15/M
Contesto
1.0M
≈ 2,500 pagine A4 · output max 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)

Gli assi radar sono approssimati dai punteggi di categoria dove mancano misurazioni dirette — vedi Metodologia.

Punti di forza e compromessi

Dove vince

  • 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

A cosa fare attenzione

  • Architecture and weights undisclosed — API access only

Casi d'uso 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 per sviluppatori e API

Imposta prima OPENROUTER_API_KEY — ottieni una chiave 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.

Risorse e link ufficiali

Deployment API

Confronta host e latenza

Throughput, TTFT e prezzi cache su Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock e Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
Vedi matrice provider →

Punteggi per Fonte

Specifiche live e architettura

Sotto il cofano
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.01/1M tokens.
Data di Rilascio
11 set 2026
Parametri
Not disclosed
Licenza
Proprietary
Finestra di Contesto
1,000,000 tokens
Output max
16,384 tokens
Modalità
text + image
Prezzi cache
lettura $0.01 · scrittura $0.06 /1M
Ragionamento
Livelli di sforzo
Prezzo Ingresso
$0.05/M
Prezzo Uscita
$0.15/M
Velocità Uscita
235 t/s
Tempo al Primo Token
1.83 s
Dati aggiornati
12 set 2026

Stima bolletta mensile

Spesa mensile stimata
$0.00
Calcolo risparmio vs GPT-4o…

Cita e incorpora

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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}
}

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Aggiungi un badge Podium Score live al tuo README su GitHub o Hugging Face — rimanda alla classifica live.

Anteprima
Agnes 3.0 Flash LLMPodium Score
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