Gemini 2.0 Flash
Google's high-speed multimodal workhorse with 1M token context, native tool use, and real-time audio/video streaming.
1,000k
Tokens
8.192k
Output limit
Multimodal MoE
Model family
Not Disclosed
Total / Active
$0.10
Per 1M tokens
$0.40
Per 1M tokens
Model Overview
Gemini 2.0 Flash is built from the ground up for speed, low latency, and multimodal capabilities across text, audio, image, and video inputs. Features 1M token context window, built-in Google Search grounding, code execution sandbox, and ultra-competitive pricing ($0.10/$0.40 per MTok).
Developer Implementation Notes
Multimodal Live API enables bidirectional voice and video streaming over WebSockets. Grounding with Google Search supported natively.
Key Strengths
- Massive 1,000,000 token context window
- Native video and audio ingestion at low cost
- Extremely cheap pricing ($0.10 input / $0.40 output per MTok)
- Built-in Google Search grounding and code execution
Limitations & Boundaries
- Maximum output token limit of 8,192
- Can hallucinate fine details in obscure edge cases without grounding
Capabilities & Modalities
Best Production Use Cases
- Video and audio analysis & transcription
- Massive document and codebase RAG
- Real-time interactive voice agents
Verified Benchmark Results
Standardized evaluations with methodology notes and authoritative citation links.
Pricing & Inference Cost Calculator
Token Cost Estimator – Gemini 2.0 Flash
Calculate projected inference spend with prompt caching
Quick Workload Presets
$0.2000
2.00M input tokens
$0.2000
0.50M output tokens
$0.40
Avg: $0.00040 / req
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Data Accuracy & Verification Notice
AI model specifications, pricing records, and benchmark metrics published on this platform are compiled directly from authoritative sources (official provider documentation, research papers, and verified evaluation harnesses). Benchmark results reflect specific test harnesses and prompting methodologies; scores are not directly comparable across differing evaluation setups.