Gemini 3 Pro Preview is Now Supported in Kilo Code
Here's what you need to know.
Google has just released Gemini 3, their most advanced model yet, bringing state-of-the-art reasoning, richer multimodal understanding, and dramatically more capable agentic behavior.
Gemini 3 Pro Preview is available today across the entire Kilo Code ecosystem. You can use it through:
The Kilo Gateway in the VSCode/JetBrains Extension
Your first $10 top-up still gets you +$20 bonus credits
Your own Google API key
Just type “Gemini 3” in the model selector inside Kilo Code, and you’ll see it immediately:
Gemini 3 — What’s New
Gemini 3 represents a major leap over the 1.x and 2.x families. Google describes it as their most intelligent model to date, built around deeper reasoning, more reliable problem-solving, and far more fluent multimodal understanding.
Here are the benchmarks:
Reasoning Performance
Gemini 3 tops the LMArena leaderboard with a 1501 Elo score and delivers frontier-level performance across multiple reasoning benchmarks:
GPQA Diamond: 91.9%
Humanity’s Last Exam: 37.5% (no tools)
MathArena Apex: 23.4%
This means better depth, nuance, and consistency on complex tasks like architecture planning, debugging multi-file systems, and scientific problem-solving.
Coding With Gemini 3
Gemini 3 is built for richer, more interactive coding experiences — which are now fully available in the Kilo Code extension and CLI.
In our own tests, Gemini 3 Pro Preview outperformed other top models on five challenging UI and application-building tasks. Across scenarios like building interactive physics sandboxes, designing workflow editors, or creating browser-based micro-OS environments, Gemini 3 consistently produced cleaner, more intentional solutions:
What stood out most was how Gemini writes code:
It uses modern, sensible libraries without over-engineering
Layouts and UIs adapt intelligently to constraints rather than feeling template-driven
It reliably selects correct asset/CDN paths and exhibits strong awareness of current tooling
These qualitative differences matter in real development workflows, where correctness, structure, and maintainability often outweigh raw token-level metrics.
Planning, Agents, and Autonomy
Gemini 3 continues Google’s push into agentic workflows. It now leads long-horizon planning benchmarks:
Vending-Bench 2: best-in-class returns for long-horizon simulations
More consistent tool use
Better stepwise planning
More stable long-running sessions
In real workflows, this means:
More reliable multi-step refactors
Better repository-wide changes
More accurate filesystem navigation
More predictable tool usage inside Kilo Code
It’s compatible with Kilo’s multi-model workflows, meaning you can do intensive reasoning and architecture tasks with Gemini 3.0, and switch to a more cost-efficient model like Gemini 2.5 Flash Lite for minor fixes.
Pricing
Input Pricing
Up to 200K tokens: $2 per 1M tokens
Above 200K tokens: $4 per 1M tokens
Output Pricing
Up to 200K tokens: $12 per 1M tokens
Above 200K tokens: $18 per 1M tokens
Cache Read
Up to 200K tokens: $0.20 per 1M tokens
Above 200K tokens: $0.40 per 1M tokens
Cache Write
Up to 200K tokens: $2.375 per 1M tokens
Above 200K tokens: $4.375 per 1M tokens
Total Context: 1.05M tokens
Max Output: 65.5K tokens
Live Q&A Event
On November 19th, 2025 at 12:00 PM EST, we’ll host a live Q&A webinar where you’ll learn what sets this Google model apart from others.
10 people who join the webinar will get $100 in LLM usage credits via our Kilo Code Gateway. You’ll learn whether Gemini 3 Pro Preview is worth the hype just 24 hours after its release, and you can ask questions and discuss the model with members of the Kilo Code team.






Hi! Can you add Gemini 3 model for Gemini CLI Povider API?