Gemini 3.6 Flash
by Google · google/gemini-3.6-flash · #236 cheapest of 325 paid models
Prices updated Jul 22, 2026, 1:31 AM UTC · refreshed hourly
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Compare vs:Claude Sonnet 5Claude Opus 4.6Claude Haiku 4.5GPT-5.6 Sol
Pricing
Input
$1.50
per 1M tokens
Output
$7.50
per 1M tokens
Blended (3:1)
$3.00
3 input : 1 output
Cache read
$0.15
per 1M cached tokens
Cache write
$0.083
per 1M tokens
Cache & batch economics
Effective prices for Gemini 3.6 Flash with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $3.00 | $0.1605 | — |
| 50% | $2.49 | $0.093 | −42% |
| 90% | $2.09 | $0.039 | −76% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates for this provider’s batch API. Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.003 | $3.00 |
| Document summary | 8,000 | 1,000 | $0.0195 | $19.50 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.06 | $60.00 |
| Long-context analysis | 150,000 | 5,000 | $0.2625 | $262.50 |
Performance
Intelligence Index
50.1
AA composite quality
Coding Index
69.2
Math Index
—
Agentic Index
38.7
Output speed
301 tok/s
median
Time to first token
11.80s
median
Time to first answer
11.80s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 92.8% |
| Humanity's Last Exam | 38.3% |
| SciCode | 52.7% |
| AA-LCR (Long Context Reasoning) | 69.7% |
| Terminal-Bench 2.1 | 77.5% |
| τ³-Bench Banking | 24.5% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,332 |
Specs
Context window
1.05M
tokens
Max output
66K
tokens
Input modalities
text, image, video, file, audio
Tokenizer
Gemini