by Google DeepMind
Google: Gemini 3.5 Flash.
multimodal
closed
1M ctx
Cheapest input
$1.5/M
on DeepInfra
Cheapest output
$9.0/M
on DeepInfra
Hosted equiv.
~$3.24/hr
@ 100 tok/s on DeepInfra
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Hosted API only
No self-host path — closed weights.
Google: Gemini 3.5 Flash's weights aren't published. Use it via the access providers below.
Where to use it
Cheapest hosted endpoints.
FAQ
Frequently asked.
How do I run Google: Gemini 3.5 Flash?
Google: Gemini 3.5 Flash is a closed-source API model. The cheapest way to access it is through the API providers listed on this page (direct API, aggregators, and hosted chat UIs).
Where can I access Google: Gemini 3.5 Flash?
Google: Gemini 3.5 Flash is available via DeepInfra, OpenRouter. Each access option lists its own pricing (per million tokens or hourly hosting).
How much does it cost to run Google: Gemini 3.5 Flash?
API pricing starts at $1.5/M input tokens and $9.0/M output tokens. Self-hosting cost depends on the GPU you rent — see the Run It Yourself tab.
Is Google: Gemini 3.5 Flash open-source or proprietary?
Google: Gemini 3.5 Flash is a proprietary model from Google DeepMind. Access is API-only — there are no public weights to download.
API pricing
Per provider
What it costs per month across providers.
Estimate your monthly bill for Google: Gemini 3.5 Flash across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest
$33.0
OpenRouter
$/M input
$1.5
per million tokens
$/M output
$9.0
per million tokens
Providers
2
with priced rows
Monthly bill
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Loading...
Bill breakdown.
Full calculator
Want to compare token volumes across other models too?
Open the standalone API pricing tool →
Context window
How much it can remember.
1M tokens
≈ 786,432 English words
4K
32K
128K
1M
Capabilities
What it can do.
·
Vision input
·
Audio input
·
Video input
·
Function calling
·
Tool use
·
JSON mode
✓
Streaming
·
Fine-tuning