Intelligence index
Outperforms 46% of compared models
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 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).
- Input / output price
- $0.3/$2.5per 1M tokens
- Context
- 1.0M
- Released
- 2025-06-17
Pricing
Artificial Analysis
Explore rankingsDesign Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
SVG
1016Elo
Win rate 43.1%
Data Visualization
1134Elo
Win rate 49.1%
UI Component
1087Elo
Win rate 48.9%
3D
1068Elo
Win rate 47.4%
Code Categories
1102Elo
Win rate 46.9%
Website
1113Elo
Win rate 47.1%
Game Development
1064Elo
Win rate 44.3%
Related Models
Gemini 4 Argon
googleGemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.
- Context
- 1.0M
- Max output
- 943.7K
- Released
- 2026-10-13
- Input
- $2/M
- Output
- $10/M
- Cache read
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Gemini 3.8 Flash
googleGemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
- Context
- 1.0M
- Max output
- 65.5K
- Released
- 2026-09-02
- Input
- $0.825/M
- Output
- $4.13/M
- Cache read
- $0.083/M
Gemini 3.7 Flash
googleGemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step problem solving.
- Context
- 1.0M
- Max output
- 65.5K
- Released
- 2026-08-13
- Input
- $0.75/M
- Output
- $3.75/M
- Cache read
- $0.075/M