Google: Gemini 2.0 Flash
Analysis Summary
Gemini 2.0 Flash is Google's fast, low-cost multimodal model, accepting text, image, audio, video, and file inputs with a one million token context window, plus tool use and function calling support. Pricing is aggressive at $0.10 input and $0.40 output per million tokens.
Its reasoning and coding benchmarks are modest relative to current frontier models, so it is better suited to high-volume, lower-complexity tasks such as transcription-adjacent workflows, content triage, or multimodal data extraction rather than deep analytical work.
The combination of broad modality support and very low cost makes it a practical choice for scaling routine automation rather than premium analysis.
Assessed July 25, 2026
Editorial notes
Gemini 2.0 Flash from Google pairs broad multimodal input (text, image, audio, video) with a 1M token context and very low pricing, though reasoning benchmarks remain modest.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 2.0 Flash from Google pairs broad multimodal input (text, image, audio, video) with a 1M token context and very low pricing, though reasoning benchmarks remain modest.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
10.7 Intelligence Index
How Google: Gemini 2.0 Flash compares
Google: Gemini 2.0 Flash ranks #233 of 401 AI models we track for overall intelligence. Its 1M-token context window is larger than 95% of the models we list. At $0.10 per million input tokens it is cheaper than 70% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.10 | $0.000100 |
| Output | $0.40 | $0.000400 |
What would Google: Gemini 2.0 Flash cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 2.0 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.0 Flash
Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to Gemini Flash 1.5, while maintaining quality on par with larger models like Gemini Pro 1.5. It..
Frequently asked questions about Google: Gemini 2.0 Flash
How much does Google: Gemini 2.0 Flash cost?
Google: Gemini 2.0 Flash costs $0.10 per million input tokens and $0.40 per million output tokens.
What is the context window of Google: Gemini 2.0 Flash?
Google: Gemini 2.0 Flash has a context window of 1,048,576 tokens (1M).
What can Google: Gemini 2.0 Flash do?
Google: Gemini 2.0 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.0 Flash?
Google: Gemini 2.0 Flash is developed by Google and was released on February 5, 2025.
