Gemini 3.8 Flash (High)Ready
gemini-3-8-flash
Serverless APILLMReasoningVisionPrompt cachingClosed
A low-latency tier for high-volume workloads, keeping a generous context window. It ranks #17 of the top 20 frontier models on the Artificial Analysis Intelligence Index with a score of 40.9. Released September 2, 2026.
1M
Context
—
Parameters
#17
Intelligence rank · 40.9
Closed
Weights
View full spec
ReleasedSep 2, 2026
Knowledge cutoff—
Size classlarge
Input modalitiestext, image, speech, video
Output modalitiestext
Median output speed147 tok/s
Median time to first token22.6s
Usage guide
1. Choose how you'd like to use Gemini 3.8 Flash (High)
☁️ Serverless
Use with pay-per-token pricing. Zero setup, no cold starts, automatic failover between upstream routes.
Usage tiers · Standard • Priority
Try it — sign in
curl https://tokenhub-staging.coality.io/v1/chat/completions \
-H "Authorization: Bearer $TOKEN_HUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-8-flash",
"messages": [{"role": "user", "content": "Explain vector databases in one paragraph"}]
}'Pricing
| Bucket | Price | Notes |
|---|---|---|
| Input tokens | $0.9375 | per 1M tokens |
| Output tokens | $4.69 | per 1M tokens |
| Cache read | $0.0938 | cached input · 90% off |
| Cache write | $0.9375 | per 1M tokens |
Billed per token with micro-dollar precision · effective Oct 26, 2026 · default key limits 600 req/min · 200K tokens/min
Benchmarks
GPQA Diamond
95.3
Humanity's Last Exam
47.8
MMMU-Pro
85.6
SciCode
56.6
Terminal-Bench 4.0
19.7
Long Context Reasoning
81.3
Frontier Code
36.4
Scores from the Artificial Analysis evaluation suite (0–100 scale).
About this model
Closed model, with a 1M context window, native image input, visible reasoning traces, prompt caching at a 90% discount on cached input, 147 output tokens/s median serving speed and 22.6s to first token.