Google: Gemini 2.5 Flash
Analysis Summary
Built by Google, Google: Gemini 2.5 Flash belongs to the Gemini 2 family. It was released in June 2025. On our leaderboard it earns Professional-tier status, ranking #10 of 565 models in our overall business-suitability ranking. For raw reasoning ability it ranks #165 of 374, putting it in the upper half for overall intelligence.
On coding it ranks #156 of 311, a reasonable fit for everyday development support. For agentic automation it sits at #228 of 286, handling the multi-step, tool-using tasks that power AI agents. Its 1M-token context window is larger than 97% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Google: Gemini 2.5 Flash combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.300 input and $2.50 output per 1M tokens, Google: Gemini 2.5 Flash is cost-efficient for everyday workloads so it scales comfortably across routine production traffic. Google: Gemini 2.5 Flash is a dependable pick for businesses that need strong, well-rounded performance without paying frontier prices.
Editorial notes
Gemini 2.5 Flash from Google pairs a 1M token context with full multimodal input (image, audio, video, file), strong instruction following, and competitive pricing; a capable all-rounder for business workflows at a fraction of Pro cost.
Assessed May 31, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Google: Gemini 2.5 Flash compares
Google: Gemini 2.5 Flash ranks #165 of 374 AI models we track for overall intelligence, #156 of 311 for coding, #228 of 286 for agentic tasks. Its 1M-token context window is larger than 97% of the models we list. At $0.30 per million input tokens it is cheaper than 43% of comparable models.
About Google: Gemini 2.5 Flash
Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemini 2.5 Flash stack up?
Compare side-by-side with other professional models.
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $2.50 | $0.002500 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
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Frequently asked questions about Google: Gemini 2.5 Flash
How much does Google: Gemini 2.5 Flash cost?
Google: Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens.
What is the context window of Google: Gemini 2.5 Flash?
Google: Gemini 2.5 Flash has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 2.5 Flash good for coding?
On our coding benchmark index, Google: Gemini 2.5 Flash ranks #156 of 311 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemini 2.5 Flash do?
Google: Gemini 2.5 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Flash?
Google: Gemini 2.5 Flash is developed by Google and was released on June 17, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 5, 2026 8:38 pm