Gemini 3.5 Flash-Lite benchmarks
Gemini 3.5 Flash-Lite is a proprietary model from Google, released 21 Jul 2026. It ranks 47th of 51 on our overall leaderboard and 42nd of 50 for value. At A$1.19 per million tokens (blended), it costs about 3.0× cheaper than the median model we track. It writes about 350 tokens a second, and answers start after 6.7 s on average, thinking included. It can be called from Google Vertex AI in Sydney, but only through global routing, so requests may be processed outside Australia.
- CONTEXT WINDOW
- 1,048,576 tokens
- MAX OUTPUT
- 65,536 tokens
- INPUT
- text, image, video, audio
- WEIGHTS
- Proprietary
- RELEASED
- 21 Jul 2026
- OUTPUT SPEED
- 350 tok/s
- ANSWER STARTS AFTER
- 6.7 s (thinking included)
Gemini 3.5 Flash-Lite across our rankings.
Benchmark results.
Independent test scores are for the default setting. “Among tracked” ranks Gemini 3.5 Flash-Lite against the 51 models on this site; LMArena ranks run across its full leaderboard.
| BENCHMARK | RESULT | AMONG TRACKED | SOURCE DETAIL |
|---|---|---|---|
| INDEPENDENT TESTS · ARTIFICIAL ANALYSIS | |||
| AA Intelligence Index | 22.2 | #49 of 51 | Default |
| AA Coding Index | 49.3 | #40 of 42 | Default |
| GPQA Diamond | 83.8% | #43 of 44 | Default |
| Humanity’s Last Exam | 18.8% | #50 of 51 | Default |
| AA-LCR | 76.0% | #47 of 51 | Default |
| Terminal-Bench 2.1 | 53.6% | #40 of 42 | Default |
| τ²-Bench (banking) | 17.5% | #36 of 41 | Default |
| SciCode | 41.3% | #45 of 46 | Default |
| BLIND HUMAN VOTES · LMARENA | |||
| LMArena Text26,165 votes · ±5 | 1456 | #34 of 42 | #59 of 402 on LMArena · 13 Sep 2026 |
| LMArena WebDev228 votes · ±43 | 1447 | #40 of 45 | #58 of 129 on LMArena · 22 Sep 2026 |
| LMArena Vision5,254 votes · ±10 | 1266 | #25 of 33 | #34 of 152 on LMArena · 13 Sep 2026 |
| LMArena Agent23,248 sessions | #45 | #37 of 37 | #45 of 46 on LMArena · 15 Sep 2026 |
What Gemini 3.5 Flash-Lite costs in Australian dollars.
List prices converted at the snapshot’s RBA rate, excluding GST. Reasoning models are billed for their thinking as output tokens, so heavier settings cost more than the job estimates show.
| PER MILLION TOKENS | AUD | USD LIST |
|---|---|---|
| Input tokens | A$0.42 | US$0.30 |
| Output tokens | A$3.51 | US$2.50 |
| Blended (3 in : 1 out) | A$1.19 | US$0.85 |
| JOB | COST (AUD) | MEDIAN MODEL |
|---|---|---|
| Customer support replyPER 1,000 REPLIES | A$1.90 | ≈ A$6.58 |
| Summarise a 30-page documentPER 100 DOCUMENTS | A$1.12 | ≈ A$4.74 |
| Agentic coding taskPER 10 TASKS | A$0.91 | ≈ A$3.72 |
Running Gemini 3.5 Flash-Lite in Australia.
It can be called from Google Vertex AI in Sydney, but only through global routing, so requests may be processed outside Australia. How the platforms compare →
| PLATFORM | AVAILABILITY | DETAIL |
|---|---|---|
| AWS Bedrock · Sydney | NOT OFFERED | |
| AWS Bedrock · Melbourne | NOT OFFERED | |
| Azure · Australia East | NOT OFFERED | |
| Google Vertex AI · Sydney | GLOBAL |
Compare it with.
Gemini 3.5 Flash-Lite, answered.
How much does Gemini 3.5 Flash-Lite cost in Australian dollars?
Gemini 3.5 Flash-Lite lists at US$0.30 per million input tokens and US$2.50 per million output tokens — A$0.42 and A$3.51 at A$1 = US$0.7123 (RBA, 22 Sep 2026), excluding GST. A typical customer support reply works out at about A$1.90 per 1,000 replies, before any reasoning tokens.
Can I use Gemini 3.5 Flash-Lite in Australia with data kept onshore?
Gemini 3.5 Flash-Lite can be called from Google Vertex AI in Sydney, but only through global routing, so requests may be processed outside Australia. Availability comes from the cloud providers’ own documentation; check your provider’s current terms before relying on it for data-residency obligations.
Is Gemini 3.5 Flash-Lite good for coding?
It ranks 40th of 42 on our coding ranking, with an Artificial Analysis Coding Index of 49.3 and an LMArena WebDev rating of 1447 (58th of 129). The current leader is Claude Fable 5.1.
How good is Gemini 3.5 Flash-Lite at agent and automation work?
It ranks 40th of 41 on our agents ranking, completing 17.5% of τ²-Bench banking customer-service tasks and 53.6% of Terminal-Bench 2.1 tasks.
How fast is Gemini 3.5 Flash-Lite?
Artificial Analysis measures Gemini 3.5 Flash-Lite at about 350 tok/s of output, with the answer starting after 6.7 s on average once thinking time is included (default setting).
What is Gemini 3.5 Flash-Lite’s context window?
Google documents a context window of 1,048,576 tokens (1M), with up to 65,536 output tokens. On AA-LCR, which tests reasoning across ~100,000-token document sets, it scores 76.0%.
Ratings: LMArena leaderboard dataset (CC BY 4.0), rescaled for the lens scores · leaderboards to 22 Sep 2026
Evaluations, prices and speed: Artificial Analysis (artificialanalysis.ai) · fetched 23 Sep 2026
Exchange rate: Reserve Bank of Australia, table F11.1 · A$1 = US$0.7123 on 22 Sep 2026 · prices exclude GST
Snapshot 23 Sep 2026 · updated weekly · How the rankings work →