DeepSeek

DeepSeek V4.1 FlashAperto

DeepSeek V4.1 Flash is an open-weights MoE reasoning model with 552B total (16B active) parameters, 1.0M context, and chain-of-thought problem solving.

#379rilasciato il 10 set 2026·Open Weights·552B (16B active)
textimage1.0M ctxreasoning
Provider APIOttieni chiave API →Classifica
Intelligenza
54.5 #379
AAQI 40.0
Velocità Uscita
214 t/s
TTFT 1.21 s · ITL 4.7 ms/tok
Prezzo combinato (3:1)
$0.18 /1M
Input $0.3/M · Output $1.2/M
Contesto
1.0M
≈ 2,500 pagine A4 · output max 32,768

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

DeepSeek V4.1 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (52)Mathematics (68)Hard Science (GPQA) (58)Agentic & Tool Use (48)Knowledge (MMLU) (46)Vision / Multimodal (50)

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

Punti di forza e compromessi

Dove vince

  • Open weights — self-host, fine-tune and audit with no vendor lock-in
  • 1.0M context — swallows whole repos, codebases or corpora in one pass
  • 214 tok/s output — fast enough for real-time agents
  • Very low blended price — $0.18/1M mixed tokens

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.
SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.

Quickstart per sviluppatori e API

Imposta prima DEEPSEEK_API_KEY — ottieni una chiave API
curl https://api.deepseek.com/v1/chat/completions \
  -H "Authorization: Bearer $DEEPSEEK_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "deepseek-v4-1-flash",
    "messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
  }'

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
Dense · 552B (16B active)
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.03/1M tokens.
Data di Rilascio
10 set 2026
Architettura
Dense · 552B (16B active)
Parametri
552B (16B active)
Licenza
Open Weights
Finestra di Contesto
1,000,000 tokens
Output max
32,768 tokens
Modalità
text + image
Prezzi cache
lettura $0.03 · scrittura $0.35 /1M
Ragionamento
Livelli di sforzo
Prezzo Ingresso
$0.3/M
Prezzo Uscita
$1.2/M
Velocità Uscita
214 t/s
Tempo al Primo Token
1.21 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{llmpodium2026deepseekv41flash,
  title = {Benchmark Analysis and Intelligence Evaluation of DeepSeek V4.1 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/deepseek-v4-1-flash}
}

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DeepSeek V4.1 Flash LLMPodium Score
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