Gemini 3.5 Flash API Pricing
Google · released 2026-05-19
Also searched as: 3.5 Flash pricing
Gemini 3.5 Flash price
0.150¢ / 1K
0.900¢ / 1K
0.338¢ / 1K
Official list price from Google, as recorded by models.dev
What it actually costs
| Workload | Tokens | Cost |
|---|---|---|
| Short chat reply | 500 in / 300 out | 0.345¢ |
| RAG query | 4,000 in / 500 out | $0.0105 |
| Long document summary | 50,000 in / 1,000 out | $0.0840 |
| Code review of a 2k-line file | 30,000 in / 2,000 out | $0.0630 |
| 1,000 chat replies/day for 30 days | 30,000 × (500 in / 300 out) | $103.50 |
Cost = (input tokens ÷ 1,000,000 × $1.50) + (output tokens ÷ 1,000,000 × $9.00).
Benchmarks
| Benchmark | Value | Source | As of |
|---|---|---|---|
| Epoch Capabilities Index (ECI) | 155.2 | epoch | 2026-05-19 |
| Epoch Mock AIME accuracy | 95.6% | epoch | 2026-05-19 |
| Epoch FrontierMath (T1–3) accuracy | 62.8% | epoch | 2026-05-19 |
| Arena text rating | 1478 | arena | 2026-10-28 |
| Arena coding rating (human preference votes, not task accuracy) | 1508 | arena | 2026-10-28 |
| Arena math rating | 1497 | arena | 2026-10-28 |
| Arena WebDev rating | 1499 | arena | 2026-10-28 |
LiveBench
Shown on this model page only — LiveBench data never appears in any leaderboard, comparison table or structured data on this site.
| LiveBench metric | Value | As of |
|---|---|---|
| LiveBench Global Average | 74.6 | 2026-06-25 |
| LiveBench Reasoning | 82.0 | 2026-06-25 |
| LiveBench Coding | 78.2 | 2026-06-25 |
| LiveBench Agentic Coding | 49.0 | 2026-06-25 |
| LiveBench Mathematics | 88.2 | 2026-06-25 |
| LiveBench Data Analysis | 64.9 | 2026-06-25 |
| LiveBench Language | 84.6 | 2026-06-25 |
| LiveBench Instruction Following | 75.6 | 2026-06-25 |
LiveBench leaderboard (livebench.ai, github.com/LiveBench/new-livebench), CC BY-SA 4.0 — livebench.ai · github.com/LiveBench/new-livebench · CC BY-SA 4.0
Similar ECI, lower price
| Model | ECI | Blended $/1M |
|---|---|---|
| GLM-5.3-Flash | 153.6 | $0.1942 |
| Claude Haiku 5.5 | 160.2 | $0.20 |
| GPT-6 Luna | 156.7 | $0.20 |
| DeepSeek V4.1 Flash 1017 | 159.3 | $0.2625 |
| GPT-5.6 Luna | 156.8 | $0.45 |
More from Google
| Model | Released | Blended $/1M |
|---|---|---|
| Gemini 4 Argon | 2026-10-13 | $4.00 |
| Nano Banana 2.1 | 2026-10-06 | $8.625 |
| Gemini 3.8 Flash TTS | 2026-09-22 | $2.625 |
| Gemini 3.8 Flash Lite TTS | 2026-09-22 | $1.875 |
| Gemini 3.8 Live Extended Thinking | 2026-09-15 | $1.6875 |
| Gemini 3.8 Live | 2026-09-15 | $1.6875 |
| Lyria 3.5 | 2026-09-03 | — |
| Gemini 3.8 Flash | 2026-09-02 | $1.50 |
Count tokens & estimate cost for Gemini 3.5 Flash See Gemini 3.5 Flash on the leaderboard
Prices: Google's official list price as recorded by models.dev; benchmarks: see sources below; last synced 2026-11-06.
FAQ
Who develops Gemini 3.5 Flash?
Gemini 3.5 Flash is developed by Google, released 2026-05-19.
How much does Gemini 3.5 Flash cost per million tokens?
Gemini 3.5 Flash costs $1.50 per 1M input tokens and $9.00 per 1M output tokens ($3.375 blended), per Google's official list price as recorded by models.dev.
What is the Gemini 3.5 Flash API price?
The Gemini 3.5 Flash API price is $1.50 per 1M input tokens and $9.00 per 1M output tokens ($3.375 per 1M blended).
How much does Gemini 3.5 Flash cost for a typical request?
A short chat reply (500 in / 300 out tokens) costs about 0.345¢ on Gemini 3.5 Flash, at $1.50/1M input and $9.00/1M output.
Is Gemini 3.5 Flash free?
Gemini 3.5 Flash's official API list price is $1.50 per 1M input tokens and $9.00 per 1M output tokens. This site tracks list prices only, not free tiers or trial credits — check Google's site for those.
How does Gemini 3.5 Flash rank on benchmarks?
Gemini 3.5 Flash scores 155.2 on the Epoch Capabilities Index (ECI), ranking #38 of 107 models we track with a published ECI score.
Is there a cheaper model with a similar ECI to Gemini 3.5 Flash?
Yes — GLM-5.3-Flash scores a similar ECI (153.6) at $0.1942/1M blended, versus $3.375/1M for Gemini 3.5 Flash.
Where does this data come from?
Pricing for Gemini 3.5 Flash comes from models.dev and LiteLLM (open MIT-licensed catalogs); benchmark scores come from Epoch AI and LMArena (open CC BY 4.0 licenses); LiveBench scores (below) are CC BY-SA 4.0 — see /data-sources/. Last synced 2026-11-06.