ذكاء نماذج الذكاء الاصطناعي

Gemini 2.0 Flash Lite

google/gemini-2-0-flash-lite

من Google · العائلة: gemini-flash-lite · أُصدِر 2024-12-11 · تاريخ المعرفة: 2024-06

$0.075
الإدخال / 1M رمز
$0.300
الإخراج / 1M رمز
1.05M
نافذة السياق
8K
أقصى إخراج

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

القدرات

✓ استدعاء الأدوات✗ تفكير✓ إخراج منظم✓ المرفقات✗ أوزان مفتوحة✓ التحكم بالحرارة
الوسائط المدعومة: إدخال text, image, audio, video, pdf · إخراج text

Model fit scores

0–100 · higher is better

These 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.

ScenarioCostAssumption
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.

تفاصيل التسعير

السعر المُوصى به من google · gemini-2.0-flash-lite

$0.075
إدخال
$0.300
إخراج

أرخص مزود: poe · $0.052 إدخال + $0.210 إخراج

متاح لدى 8 مزود

المزودمعرف نموذج المزودإدخال / 1Mإخراج / 1Mالسياقتاريخ الإصدار
Google
google
gemini-2.0-flash-lite$0.075$0.3001.05M2024-12-11
Vertex
google-vertex
gemini-2.0-flash-lite$0.075$0.3001.05M2024-12-11
Vercel AI Gateway
vercel
google/gemini-2.0-flash-lite$0.075$0.3001.05M2024-12-11
302.AI
302ai
gemini-2.0-flash-lite$0.075$0.3002M2025-06-16
NanoGPT
nano-gpt
gemini-2.0-flash-lite$0.075$0.3061M2024-12-11
Qiniu
qiniu-ai
gemini-2.0-flash-liteUnknownUnknown1.05M2025-08-05
Poe
poe
google/gemini-2.0-flash-lite$0.052$0.210990K2025-02-05
LLM Gateway
llmgateway
gemini-2.0-flash-lite$0.075$0.3001.05M2024-12-11

اختلافات في بيانات المزودين

  • 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

يبلِّغ المزودون قيمًا مختلفة لهذا النموذج. تستخدم الحقائق السريعة أعلاه مزودًا تمثيليًا؛ راجع الجدول للتفاصيل لكل مزود.

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

Capability lists this model is in

See also

آخر تحديث:

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.