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Gemini 3.8 Flash

Gemini 3.8 Flash (high reasoning) by Google. High intelligence index (59), output throughput of 302 TPS, and native 1M context window with 90% prompt caching discount.

#183dirilis 1 Sep 2026·Proprietary·Not disclosed
textimageaudiovideo1M ctxpenalaran
Penyedia APIDapatkan Kunci API →Peringkat
Inteligensi
68.5 #183
Tingkat 24% teratas
Kecepatan output
302 t/s
TTFT 180 ms · ITL 3.3 ms/tok
Harga gabungan (3:1)
$1.5 /1M
Input $0.75/M · Output $3.75/M
Konteks
1M
≈ 2,500 halaman A4 · output maks 65,536

Quality Domain Radar

6-Axis Frontier Evaluation vs Category Average & Flagship

Gemini 3.8 Flash
Claude Mythos Preview (#1)
Average (68)
Coding (54)Mathematics (73.5)Hard Science (GPQA) (56)Agentic & Tool Use (72.5)Knowledge (MMLU) (58)Vision / Multimodal (62)

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

Kelebihan & Trade-off

Di mana ia menang

  • 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

Hal yang perlu diperhatikan

  • Architecture and weights undisclosed — API access only

Kasus Penggunaan 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 Developer & API

Atur GEMINI_API_KEY dulu — dapatkan kunci API
curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-8-flash: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."}]}]
  }'

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 $0.075/1M tokens.
  • Native multimodality: text, image, audio, video in a single model.
Tanggal rilis
1 Sep 2026
Parameter
Not disclosed
Lisensi
Proprietary
Jendela konteks
1,000,000 tokens
Output maks
65,536 tokens
Modalitas
text + image + audio + video
Harga cache
baca $0.075 · tulis $0.9375 /1M
Penalaran
Level effort
Harga input
$0.75/M
Harga output
$3.75/M
Kecepatan output
302 t/s
Waktu ke token pertama
180 ms
Data diperbarui
2 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{llmpodium2026gemini38flash,
  title = {Benchmark Analysis and Intelligence Evaluation of Gemini 3.8 Flash},
  author = {LLMPodium Research},
  year = {2026},
  url = {https://llmpodium.com/models/gemini-3-8-flash}
}

Sematkan Lencana Skor

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

Pratinjau
Gemini 3.8 Flash LLMPodium Score
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Lainnya dari Google

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