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Google: Gemini 2.5 Flash Coding Benchmark

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...

Context1,048,576tokens
Max Output65,535tokens
Inputmodalities
Price$0.30/1M input
Ranks from Kilo Code LeaderboardPricing via OpenRouter

Try Google: Gemini 2.5 Flash in Kilo Code

Experience this model with the most popular open source coding agent. Free to start, pay only for AI usage. Use in popular IDEs like VS Code, JetBrains, command line, or cloud agents.

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Benchmark
Score
LiveCodeBench
71.3%
TerminalBench Hard
16.7%
LCR
71.0%
IFBench
52.3%

Performance metrics from Artificial Analysis

Security

Enkrypt AI red-team scores for Google: Gemini 2.5 Flash. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
32.1

Lower is safer

Safety

32.1/ 100

Composite safety risk from Enkrypt red-team evaluations. Lower is safer.

NIST

32.0/ 100

Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.

OWASP

35.0/ 100

Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.

Attack categories

Percentage of successful attacks in each Enkrypt red-team category.

Jailbreak27.1/ 100

Share of jailbreak tests that bypassed the model's safety constraints.

Bias75.2/ 100

Share of tests that elicited biased responses.

Harmful content45.4/ 100

Share of tests that produced dangerous, violent, or hateful content.

Toxicity8.5/ 100

Share of tests that produced toxic or abusive content.

CBRN15.8/ 100

Share of tests that elicited chemical, biological, radiological, or nuclear assistance.

Insecure code15.4/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
32.1 / 100
Safety
32.1 / 100
NIST
32.0 / 100
OWASP
35.0 / 100
Jailbreak
27.1 / 100
Bias
75.2 / 100
Harmful content
45.4 / 100
Toxicity
8.5 / 100
CBRN
15.8 / 100
Insecure code
15.4 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 17, 2026

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

No data

Orchestrator

Coordinate tasks across multiple modes

#78

Real-world metrics from the Kilo Code Leaderboard

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.

PinchBench run

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 agents and production workflows.

Agentic benchmarks from the PinchBench 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

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
FileImageTextAudioVideo
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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