Google: Gemini 2.5 Flash
Google's Gemini 2.5 Flash is a fast, affordable multimodal model with a massive 1M token context window and broad input support including audio and video — making it a strong choice for high-volume, cost-sensitive workflows. Its reasoning and coding scores are moderate, but its capability breadth and low price make it a practical option for many business content tasks.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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 accuracy and nuanced context handling. Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).
Capabilities
Architecture
| Modality | Text + Image + File + Audio + Video → Text |
| Tokenizer | Gemini |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
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.
