Gemini 2.0 Flash is Google's latest lightweight model featuring extremely low hallucination rates while maintaining fast response times, offering developers high-precision and efficient AI solutions particularly suited for applications requiring high factual accuracy.
Pricing
Input Modalities
- Text
- Vision
- Audio
- Video
Output Modalities
- Text
Capabilities
- Tools
- Tool calling
- Structured outputs
- Long context
Providers
VertexAI gemini-2.0-flash
Pricing$0.1$0.4
Cache Read$0.25/M tokens
Input Audio$0.7/M tokens
Input Audio Cached $0.175/M tokens
Web Search$0.035/request
Image Generation$0.039/image
Cache Storage$1/h/M tokens
Context1M
Max output8K
Latency0.7S
Throughput131.2TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Google AI Studio gemini-2.0-flash
Pricing$0.1$0.4
Cache Read$0.25/M tokens
Input Audio$0.7/M tokens
Input Audio Cached $0.175/M tokens
Web Search$0.035/request
Image Generation$0.039/image
Cache Storage$1/h/M tokens
Context1M
Max output8K
Latency0.6S
Throughput140.3TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Performance for gemini-2.0-flash
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Throughput
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Try this model
Python