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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...

24.6 Coding Index*62.4% PinchBench§$0.30/1M input tokens
Release Date
September 25, 2025
Context Window
1,048,576 tokens
Max Output
65,535 tokens
Input Modalities
fileimagetextaudiovideo

Try Google: Gemini 2.5 Flash in Kilo Code

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Benchmarking Google: Gemini 2.5 Flash

Coding Performance

Coding benchmarks and performance metrics for development tasks

Coding Benchmarks

BenchmarkScore
AA Coding Index24.6%
LiveCodeBench71.3%
SciCode40.5%
TerminalBench Hard16.7%
LCR64.3%
IFBench52.3%

Performance metrics from Artificial Analysis

PinchBench data · refreshed daily

OpenClaw Benchmarks

PinchBench measures how Google: Gemini 2.5 Flash performs on real OpenClaw agent tasks: multi-step execution, tool use, recovery, latency, and cost.

Average score

62.4%

#46 of 50 official models

Average time

13m 32s

31 runs · per OpenClaw task

Average cost

$0.273

Per benchmark run

Category breakdown

Best verified PinchBench v2 run by OpenClaw task family.

Uncategorized87.6% · 8/11 cleared

Top task results

Highest-scoring benchmark tasks from the same submission.

Uncategorized
00 Sanity
100.0%
Uncategorized
01 Calendar
100.0%
Uncategorized
03 Blog
100.0%
Uncategorized
04 Weather
100.0%
Uncategorized
05 Summary
100.0%
Uncategorized
06 Events
100.0%

Autonomous task execution

Google: Gemini 2.5 Flash shows emerging average success across OpenClaw-style benchmark runs, useful for recurring research, browser, and file-based automations.

Tool use and recovery

PinchBench tasks stress multi-step planning, tool calls, and judge-verified completion rather than single prompt coding snippets.

Agent workflow fit

Its deliberate average runtime and premium run cost help set expectations for long-running KiloClaw agents and production workflows.

Agentic benchmarks from the PinchBench Leaderboard

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

Mode Rankings (Last Week)

Where this model ranks for each built-in mode

Code

Write, modify, and refactor code

No data

Ask

Get answers and explanations

No data

Debug

Diagnose and fix software issues

#99

Orchestrator

Coordinate tasks across multiple modes

No data

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.30
per 1M tokens
Output Tokens
$2.50
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0370

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Model ID
google/gemini-2.5-flash
Artificial Analysis Slug
gemini-2-5-flash-preview-09-2025-reasoning
Created
June 17, 2025
Tokenizer
Gemini
Input Modalities
file, image, text, audio, video
Context Window
1,048,576 tokens
Max Completion Tokens
65,535 tokens
Input Price
$0.30 per 1M tokens
Output Price
$2.50 per 1M tokens
Cache Read Price
$0.03 per 1M tokens
Cache Write Price
$0.08 per 1M tokens
Content Moderation
Disabled

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