# Gemini 3.5 Flash Lite Usage, Cost & Rank | OpenCode Data

> Gemini 3.5 Flash Lite costs $0.30 per 1M input tokens and $2.50 per 1M output tokens.

Fast Gemini model balancing multimodal reasoning, tool use, and cost

- Page: https://opencode.ai/data/google/gemini-3-5-flash-lite
- JSON: https://opencode.ai/data/google/gemini-3-5-flash-lite.json
- Model ID: google/gemini-3.5-flash-lite
- Lab: Google
- Updated: 2026-09-28T12:09:39.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 66K |
| Knowledge cutoff | 2026-03 |
| Release date | 2026-07-21 |
| Input modalities | text, image, video, audio, pdf |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.30 | $2.50 | $0.03 | - |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | Unranked |
| Tokens | 0 |
| Share of all tokens | 0% |
| Change vs previous 2 months | 0% |
| Unique users | 0 |
| Completed sessions | 4 |
| Average tokens per session | 0 |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 0% |
| Weekly retention | - |

## Daily usage: past 2 months

_No data yet._

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [space-bunny](https://opencode.ai/data/unknown/space-bunny.md) | - | 53T |
| 2 | [muse-spark-1.3-contributor](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 33T |
| 3 | [deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 31T |
| 4 | [mimo-v2.6-flash](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 9.9T |
| 5 | [deepseek-v4-flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 3.8T |
| 6 | [nemotron-3-ultra](https://opencode.ai/data/nvidia/nemotron-3-ultra.md) | NVIDIA | 3.6T |
| 7 | [longcat-2.5-preview](https://opencode.ai/data/meituan/longcat-2-5-preview.md) | Meituan | 2.1T |
| 8 | [fledge-alpha](https://opencode.ai/data/unknown/fledge-alpha.md) | - | 1.7T |
| 9 | [glm-5.3-flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 1.7T |
| 10 | [mimo-v2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 653B |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| SWE-Bench Pro | 54.2 | resolve rate | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| Terminal-Bench | 54 | accuracy | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| MLE-Bench | 39.2 | average position score | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| GDPval-AA | 1140 | Elo | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| OSWorld-Verified | 74 | success rate | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| CharXiv Reasoning | 74.5 | accuracy | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| CharXiv Reasoning | 76.5 | accuracy | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| GDM-MRCR | 72.2 | accuracy | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |
| GDM-MRCR | 21.3 | accuracy | https://deepmind.google/models/model-cards/gemini-3-5-flash-lite/ |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.