Gemini 2.0 Flash by Google demonstrates fast output speed, competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
General Benchmarks
Coding Benchmarks
Reasoning Benchmarks
Speed Benchmarks
Cost Benchmarks
Context Benchmarks
Gemini 2.0 Flash — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
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Gemini 2.0 Flash — Frequently Asked Questions
How intelligent is Gemini 2.0 Flash?
Gemini 2.0 Flash scores 1240 on the Chatbot Arena ELO rating, making it an entry-level AI model. This score is based on blind head-to-head human preference voting.
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. This makes it one of the more affordable models.
How fast is Gemini 2.0 Flash?
Gemini 2.0 Flash generates output at 220 tokens per second, which is very fast compared to other models. The time to first token is 85 ms.
How good is Gemini 2.0 Flash at coding?
Gemini 2.0 Flash achieves 28.0% on SWE-bench Verified, demonstrating basic real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Gemini 2.0 Flash at math and reasoning?
Gemini 2.0 Flash scores 68.0% on the MATH benchmark (competition-level mathematics). It also achieves 38.0% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Gemini 2.0 Flash?
Gemini 2.0 Flash has a context window of 1.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Gemini 2.0 Flash?
Gemini 2.0 Flash was created by Google. It is classified as a budget model in the AI Value Index.
Is Gemini 2.0 Flash open source?
No, Gemini 2.0 Flash is a proprietary model. It is available through Google's API and compatible providers.