Gemini 2.0 Flash
- Provider
- Type
- chat
- Context Window
- 1,048,576
- Input Price
- $0.10/ 1M tokens
- Output Price
- $0.40/ 1M tokens
- Release Date
- 2025-02-05
Data Trust Card
- Model verifiedVerified
- Pricing verifiedVerified
- Benchmark verifiedExperimental
FreshnessNeeds verification
Confidence: 95%
Verified by: https://ai.google.dev/gemini-api/docs/pricing
Evidence Timeline
- Price updated: {date}
- 2026-08-11
- Source
- https://ai.google.dev/gemini-api/docs/pricing
- 1 sources
- Confidence: 95%
Related Models
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- Gemini 2.5 ProConfidence 55%
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- Gemini 3 FlashConfidence 55%
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Lower cost alternatives
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- Qwen3 Coder 480B
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- Claude 3.5 Sonnet
Lower input price ($0.1/1M vs $3/1M) with coding, function_calling capabilities
Higher performance alternatives
- Qwen3 32B
Alternative choice with similar benchmark performance and coding, function_calling capabilities
- Claude 3.5 Sonnet
Alternative choice with similar benchmark performance and coding, function_calling capabilities
- Claude 3.7 Sonnet
Alternative choice with similar benchmark performance and coding, function_calling capabilities
Engine-computed relationship (trust-gated)
Description
Google's fast, low-latency model for high-volume tasks with multimodal input.
Use Cases
- chatbot
- real-time assistant
- multimodal
- high-volume tasks
Data Status
- Status
- Deprecated
- Last verified
- Not verified
Overall Ranking
Overall
47.5
Benchmark
0
Capability
100
Price Efficiency
100
Context
100
Overall = Benchmark 50% + Capability 20% + Price Efficiency 20% + Context 10%.
Frequently Asked Questions
What is Gemini 2.0 Flash?
Gemini 2.0 Flash is an AI model by Google. Google's fast, low-latency model for high-volume tasks with multimodal input.
What is Gemini 2.0 Flash's context window?
Gemini 2.0 Flash supports a context window of 1,048,576 tokens.
How much does Gemini 2.0 Flash cost?
Gemini 2.0 Flash costs $0.10 per 1M input tokens and $0.40 per 1M output tokens.
What can Gemini 2.0 Flash do?
Gemini 2.0 Flash supports: Vision, Reasoning, Coding, Audio, Tools, Long Context.