Gemini 2.0 Flash Lite
google/gemini-2-0-flash-lite제공: Google · 패밀리: gemini-flash-lite · 출시 2024-12-11 · 지식 컷오프: 2024-06
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding88
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)20/20
- Provider availability8/10
Agents73
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit5/15
- Provider availability8/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency73
- Headline price (log-scaled)73/95
- Has prompt-cache pricing0/5
Long context91
- Context window (100K → 2M)81/90
- Has published price for full window10/10
Vision98
- Accepts image input50/50
- Context window (10K → 1M)30/30
- Has published price10/10
- Provider availability8/10
Production-readiness94
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers4/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.53 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.05 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.30 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.90 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.08 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: google · gemini-2.0-flash-lite
가장 저렴한 제공자: poe · $0.052 입력 + $0.210 출력
8곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Google google | gemini-2.0-flash-lite | $0.075 | $0.300 | 1.05M | 2024-12-11 |
| Vertex google-vertex | gemini-2.0-flash-lite | $0.075 | $0.300 | 1.05M | 2024-12-11 |
| Vercel AI Gateway vercel | google/gemini-2.0-flash-lite | $0.075 | $0.300 | 1.05M | 2024-12-11 |
| 302.AI 302ai | gemini-2.0-flash-lite | $0.075 | $0.300 | 2M | 2025-06-16 |
| NanoGPT nano-gpt | gemini-2.0-flash-lite | $0.075 | $0.306 | 1M | 2024-12-11 |
| Qiniu qiniu-ai | gemini-2.0-flash-lite | Unknown | Unknown | 1.05M | 2025-08-05 |
| Poe poe | google/gemini-2.0-flash-lite | $0.052 | $0.210 | 990K | 2025-02-05 |
| LLM Gateway llmgateway | gemini-2.0-flash-lite | $0.075 | $0.300 | 1.05M | 2024-12-11 |
제공자 간 데이터 불일치
- context_window varies: 1000000, 1048576, 2000000, 990000
- release_date varies (span 237d): 2024-12-11, 2025-02-05, 2025-06-16, 2025-08-05
- modalities varies across offerings
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does Gemini 2.0 Flash Lite cost?
Gemini 2.0 Flash Lite costs $0.075 per 1M input tokens and $0.300 per 1M output tokens, sourced from google. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Gemini 2.0 Flash Lite?
Gemini 2.0 Flash Lite has a context window of 1.05M tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Gemini 2.0 Flash Lite support tool calling?
Yes. Gemini 2.0 Flash Lite supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Gemini 2.0 Flash Lite support structured output / JSON mode?
Yes. Gemini 2.0 Flash Lite supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Gemini 2.0 Flash Lite accept image input?
Yes. Gemini 2.0 Flash Lite accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.
Is Gemini 2.0 Flash Lite open-weight?
No. Gemini 2.0 Flash Lite is a proprietary model — only Google (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Gemini 2.0 Flash Lite?
If Gemini 2.0 Flash Lite doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash Preview. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More Google models
- Gemini 2.5 Pro$1.25 in / $10.00 out
- Gemini 2.5 Flash$0.30 in / $2.50 out
- Gemini 3 Flash Preview$0.50 in / $3.00 out
- Gemma 3 27B$0.03 in / $0.11 out
- Gemini 3.1 Pro Preview$2.00 in / $12.00 out
Capability lists this model is in
마지막 업데이트:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.