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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.

#183released Sep 1, 2026·Proprietary·Not disclosed
textimageaudiovideo1M ctxreasoning
API providersGet API Key →Leaderboard
Intelligence
68.5 #183
Top 24% tier
Output Speed
302 t/s
TTFT 180 ms · ITL 3.3 ms/tok
Blended price (3:1)
$1.5 /1M
In $0.75/M · Out $3.75/M
Context
1M
≈ 2,500 A4 pages · max out 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)

Radar axes are approximated from category scores where direct benchmark measurements are missing — see Methodology.

Strengths & Trade-offs

Where it wins

  • 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

Trade-offs to watch

  • Architecture and weights undisclosed — API access only

Killer Use Cases

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.

Developer Quickstart & API

Set GEMINI_API_KEY first — get an API key
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."}]}]
  }'

Official Resources & Links

API deployment

Compare hosts & latency

Throughput, TTFT and cache pricing across Groq, Cerebras, Together, DeepInfra, Fireworks, Bedrock and Azure.

GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
View providers matrix →

Scores by Source

Live Specs & Architecture

Under the hood
  • 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.
Release date
Sep 1, 2026
Parameters
Not disclosed
License
Proprietary
Context Window
1,000,000 tokens
Max Output
65,536 tokens
Modalities
text + image + audio + video
Cache Pricing
read $0.075 · write $0.9375 /1M
Reasoning
Effort levels
Input Price
$0.75/M
Output Price
$3.75/M
Output Speed
302 t/s
Time to First Token
180 ms
Data Updated
Sep 2, 2026

Estimated monthly bill

Estimated monthly spend
$0.00
Calculating savings vs GPT-4o...

Cite & embed

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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}
}

Embed Score Badge

Add a live Podium Score badge to your GitHub or Hugging Face README — it links back to the live ranking.

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Gemini 3.8 Flash LLMPodium Score
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