Gemini 3.5 Flash-Lite
Gemini 3.5 Flash Lite features upgraded agentic capabilities, making the model ideal for subagents in complex workflows.
text + image + video + file → text · made by Google
$0.3→$2.5per Mtok in / out
ElectronHub · 10 sellers
Free
Offered at no charge, which is not the same as cheap: a free lane carries a rate limit and can be withdrawn. The prices above are what you pay when it is not available to you.
Sold by 27 ways
| Seller | Lane | Rate |
|---|---|---|
| Google api | free | $0per Mtok in$0per Mtok outai.google.dev · read 2026-09-16 |
| Google 0 ways | $0.15per Mtok in$1.25per Mtok out$0.02per Mtok cached | |
| Google apinot on the seller's list today | batch | $0.15per Mtok in$1.25per Mtok out$0.02per Mtok cachedai.google.dev · read 2026-08-24 |
| Google Vertex AI cloud | batch | $0.15per Mtok in$1.25per Mtok out$0.015per Mtok cachedcloud.google.com · read 2026-08-24 |
| Google Vertex AI cloud | flex | $0.15per Mtok in$1.25per Mtok outraw.githubusercontent.com · read 2026-09-16 |
| Google 0 ways | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cached | |
| Google apinot on the seller's list today | standard | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cachedai.google.dev · read 2026-08-24 |
| Google Vertex AI cloud | standard | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cached$2.5per Mtok out, reasoningcloud.google.com · read 2026-08-24 |
| Databricks cloud | standard | $0.37per Mtok in$3.13per Mtok out$0.038per Mtok cached$0.37per Mtok cache writeraw.githubusercontent.com · read 2026-09-16 |
| Google Vertex AI cloud | priority | $0.54per Mtok in$4.5per Mtok out$0.054per Mtok cachedraw.githubusercontent.com · read 2026-09-16 |
| Requesty 2 ways | $0.14per Mtok in$1.12per Mtok out$0.018per Mtok cached | |
| Requesty aggregatornot on the seller's list today | google flex | $0.14per Mtok in$1.12per Mtok out$0.018per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | vertex flex | $0.14per Mtok in$1.12per Mtok out$0.013per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | $0.15per Mtok in$1.25per Mtok out$0.02per Mtok cachedrouter.requesty.ai · read 2026-09-16 | |
| Requesty aggregatornot on the seller's list today | vertex eu | $0.3per Mtok in$2.48per Mtok out$0.03per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | vertex | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cachedrouter.requesty.ai · read 2026-09-16 |
| Nous Research 2 ways | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cached$0.083per Mtok cache write | |
| Nous Research aggregator | batch | $0.15per Mtok in$1.25per Mtok out$0.015per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| Nous Research aggregator | standard | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cached$0.083per Mtok cache writeinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter 8 ways | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cached$0.083per Mtok cache write | |
| OpenRouter aggregator | batch | $0.15per Mtok in$1.25per Mtok out$0.015per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | google-ai-studio/flex | $0.15per Mtok in$1.25per Mtok out$0.015per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | google-vertex/global/flex | $0.15per Mtok in$1.25per Mtok out$0.015per Mtok cached$0.042per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | standard | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | google-vertex/eu | $0.33per Mtok in$2.75per Mtok out$0.033per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-27 |
| OpenRouter aggregator | google-vertex/us | $0.33per Mtok in$2.75per Mtok out$0.033per Mtok cached$0.083per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | google-ai-studio/priority | $0.54per Mtok in$4.5per Mtok out$0.054per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| OpenRouter aggregator | google-vertex/global/priority | $0.54per Mtok in$4.5per Mtok out$0.054per Mtok cached$0.15per Mtok cache writeopenrouter.ai · read 2026-08-25 |
| ElectronHub aggregator | standard | $0.3per Mtok in$2.5per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Inference.net aggregator | standard | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cachedapi.inference.net · read 2026-09-16 |
| Vercel AI Gateway aggregator | standard | $0.3per Mtok in$2.5per Mtok out$0.03per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
| Venice AI aggregator | standard | $0.38per Mtok in$3.12per Mtok out$0.037per Mtok cachedmodels.dev · read 2026-09-16 |
Measured 28 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 34thof 39 | Gdp pdf — Epoch AI | GDP.pdf score (high) | 0.1 |
| 34thof 152 | LMArena · Vision | Score (Elo) | 1266 |
| 43rdof 123 | Lmca — Epoch AI | Score (high) | 37.6 |
| 48thof 64 | Proofbench — Epoch AI | Accuracy | 13 |
| 50thof 161 | Dtbench — Epoch AI | Accuracy (high) | 83.47 |
| 57thof 127 | Mystery game puzzles — Epoch AI | mean_score (low) | 19 |
| 57thof 121 | Webdev arena — Epoch AI | Arena Score | 1449.14 |
| 58thof 128 | LMArena · WebDev | Score (Elo) | 1447 |
| 59thof 402 | LMArena · Text | Score (Elo) | 1456 |
| 60thof 62 | Frontiermath tier 4 v2 — Epoch AI | mean_score (high) | 0 |
| 66thof 112 | Ale bench — Epoch AI | Performance (high) | 765.27 |
| 67thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (high) | 25.965 |
| 74thof 222 | Chess puzzles — Epoch AI | mean_score (high) | 22 |
| 86thof 143 | Artificial Analysis · Agentic Index | Index | 15.9 |
| 92ndof 184 | Artificial Analysis · Coding Index | Index | 49.3 |
| 99thof 313 | GPQA Diamond | mean_score (high) | 83.333 |
| 104thof 302 | Artificial Analysis · Intelligence Index | Artificial Analysis Intelligence Index | 23 |
| 105thof 205 | ARC-AGI-1 (Public Eval) | Score (%) (high) | 66.38 |
| 107thof 216 | ARC-AGI-2 (Public Eval) | Score (%) (high) | 7.92 |
| 109thof 168 | Scicode — Epoch AI | Score | 40.856 |
| 116thof 232 | ARC-AGI-2 (Semi-Private) | Score (%) (high) | 10.28 |
| 118thof 170 | Weirdml — Epoch AI | Accuracy (high) | 39 |
| 120thof 227 | Arc agi 2 — Epoch AI | Score (high) | 10.278 |
| 127thof 290 | OTIS Mock AIME 2024-2025 | mean_score (high) | 71.111 |
| 134thof 230 | ARC-AGI-1 (Semi-Private) | Score (%) (high) | 53.5 |
| 144thof 244 | Arc agi — Epoch AI | Score (high) | 53.5 |
| 152ndof 177 | Critpt — Epoch AI | Accuracy | 0 |
| 328thof 656 | Epoch capabilities index — Epoch AI | ECI Score (low) | 145.14 |
About
Gemini 3.5 Flash-Lite — a text model from Google, sold by 10 companies from $0.3 in and $2.5 out per million tokens, placed 59th of 402 on LMArena · Text.
It takes text, images, video and files and returns text, with a context window of 1,000,000 tokens. It was published in July 2026, trained on material up to March 2026. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning and code. Ten companies sell it. The cheapest is $0.3 in and $2.5 out per million tokens at ElectronHub. Beside the standard rate there are separately routed, batch, flex, faster and regional lanes. It has been measured on 28 boards, and stands best at 59th of 402 on LMArena · Text.
Every current figure
- Maker
- Register
- model
- Takes
- text + image + video + file
- Returns
- text
- Context
- 1,000,000 tokens
- Published
- July 2026
- Knowledge to
- March 2026
- Licence
- not read
- Sellers
- 10
- Price
- $0.3 in and $2.5 out per million tokens — ElectronHub
- Boards
- 28
- Best place
- 59th of 402 — LMArena · Text
Known as 8 names
gemini-3.5-flash-litegoogle/gemini-3.5-flash-litegoogle/gemini-3.5-flash-lite:batchgoogle/gemini-3.5-flash-lite:flexvertex/gemini-3.5-flash-litevertex/gemini-3.5-flash-lite:flexvertex/gemini-3.5-flash-lite@euGoogle: Gemini 3.5 Flash Lite (batch)