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Gemini 3.8 Flash (Medium Reasoning)

Balanced reasoning effort variant of Gemini 3.8 Flash for agentic workflows.

#248rilasciato il 1 set 2026·Proprietary·Not disclosed
textimageaudiovideo1M ctxreasoningeffort: medium
Provider APIOttieni chiave API →Classifica
Intelligenza
65.2 #248
Fascia top 32%
Velocità Uscita
315 t/s
TTFT 160 ms · ITL 3.2 ms/tok
Prezzo combinato (3:1)
$1.5 /1M
Input $0.75/M · Output $3.75/M
Contesto
1M
≈ 2,500 pagine A4 · output max 65,536

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Gemini 3.8 Flash (Medium Reasoning)
Claude Mythos Preview (#1)
Average (68)
Coding (54)Mathematics (70.2)Hard Science (GPQA) (56)Agentic & Tool Use (69.2)Knowledge (MMLU) (58)Vision / Multimodal (62)

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

Punti di forza e compromessi

Dove vince

  • 1M context — swallows whole repos, codebases or corpora in one pass
  • Up to 65,536 output tokens per response
  • 302 tok/s output — fast enough for real-time agents
  • Sub-200ms time-to-first-token

A cosa fare attenzione

  • Architecture and weights undisclosed — API access only

Casi d'uso killer

SWE-bench agents
Issue-to-PR resolution across multi-file repos — refactor, test and verify autonomously.
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 GEMINI_API_KEY — ottieni una chiave API
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-8-flash-medium:generateContent" \
  -H "x-goog-api-key: $GEMINI_API_KEY" \
  -H "content-type: application/json" \
  -d '{
    "contents": [{"parts": [{"text": "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
  • Switchable reasoning effort — trading latency and tokens for accuracy on hard problems.
  • Prompt caching supported — cached input reads at $0.075/1M tokens.
  • Native multimodality: text, image, audio, video in a single model.
Data di Rilascio
1 set 2026
Parametri
Not disclosed
Licenza
Proprietary
Finestra di Contesto
1,000,000 tokens
Output max
65,536 tokens
Modalità
text + image + audio + video
Prezzi cache
lettura $0.075 · scrittura $0.9375 /1M
Ragionamento
Livelli di sforzo
Prezzo Ingresso
$0.75/M
Prezzo Uscita
$3.75/M
Velocità Uscita
315 t/s
Tempo al Primo Token
160 ms
Dati aggiornati
2 set 2026

Stima bolletta mensile

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

Cita e incorpora

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BibTeX
@misc{llmpodium2026gemini38flashmedium,
  title = {Benchmark Analysis and Intelligence Evaluation of Gemini 3.8 Flash (Medium Reasoning)},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/gemini-3-8-flash-medium}
}

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