ذكاء نماذج الذكاء الاصطناعي

Gemini 2.0 Flash-Lite

google/gemini-2-0-flash-lite

من Google · العائلة: gemini-flash-lite · أُصدِر 2025-08-05 · تاريخ المعرفة: 2024-11

$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.

Coding84
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)20/20
  • Provider availability4/10
Agents69
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability4/10
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
Vision94
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability4/10
Production-readiness74
  • Number of independent providers20/40
  • 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 4 مزود

المزودمعرف نموذج المزودإدخال / 1Mإخراج / 1Mالسياقتاريخ الإصدار
Google
google
gemini-2.0-flash-lite$0.075$0.3001.05M2024-12-11
Qiniu
qiniu-ai
gemini-2.0-flash-liteUnknownUnknown1.05M2025-08-05
302.AI
302ai
gemini-2.0-flash-lite$0.075$0.3002M2025-06-16
Poe
poe
google/gemini-2.0-flash-lite$0.052$0.210990K2025-02-05

اختلافات في بيانات المزودين

  • context_window varies: 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, Gemma 4 31B IT. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. 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:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.