Google: Gemini 3.5 Flash Coding Benchmark
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
Try Google: Gemini 3.5 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
Kilo Bench
- % Completion on Terminal Bench 2.0
- 64.7%
- Cost per attempt (USD)
- $104.49
- Benchmark
- Terminal Bench 2.0
Official Kilo eval results. Cost is averaged per complete benchmark attempt.
Performance metrics from Artificial Analysis
Security
Enkrypt AI red-team scores for Google: Gemini 3.5 Flash. Each value is the share of successful attacks on a 0–100 scale — lower is safer.
Lower is safer
Safety
Composite safety risk from Enkrypt red-team evaluations. Lower is safer.
NIST
Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.
OWASP
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.
Share of jailbreak tests that bypassed the model's safety constraints.
Share of tests that elicited biased responses.
Share of tests that produced dangerous, violent, or hateful content.
Share of tests that produced toxic or abusive content.
Share of tests that elicited chemical, biological, radiological, or nuclear assistance.
Share of tests that produced vulnerable or malicious code.
Security scores from the Enkrypt AI Safety Leaderboard · Last checked Oct 14, 2026
Real-World Usage
Real-world usage statistics from the Kilo Code community
Weekly Token Usage
Agent Rankings (Last Week)
Where this model ranks by agent role, including historical Orchestrator usage
Code
Write, modify, and refactor code
Ask
Get answers and explanations
Debug
Diagnose and fix software issues
Orchestrator (legacy)
Legacy coordination role, now handled by native sub-agent delegation
Real-world metrics from the Kilo Code Leaderboard
Pricing
Cost per 1 million tokens
Example Cost
Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0750
Coding Capabilities
Features and parameters relevant to coding tasks
Coding Features
Pricing details from OpenRouter
Technical Details
Architecture and implementation specifications
- Model ID
- google/gemini-3.5-flash
- Artificial Analysis Slug
- gemini-3-5-flash
- Created
- May 19, 2026
- Tokenizer
- Gemini
- Input Modalities
- TextImageVideoFileAudio
- Context Window
- 1,048,576 tokens
- Max Completion Tokens
- 65,536 tokens
- Input Price
- $0.75 per 1M tokens
- Output Price
- $4.50 per 1M tokens
- Cache Read Price
- $0.07 per 1M tokens
- Cache Write Price
- $0.04 per 1M tokens
- Content Moderation
- Disabled
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