Burnwise is an AI cost copilot that analyzes where your LLM budget actually goes, links costs to product features, and gives you concrete decisions to cut AI spending by 40% without sacrificing quality.

Which AI providers does Burnwise support?

Burnwise supports all major LLM providers including OpenAI (GPT-5.2, GPT-4), Anthropic (Claude 4.5), Google (Gemini 3.0), Mistral, xAI (Grok), DeepSeek, and Perplexity.

How long does it take to integrate Burnwise?

Burnwise can be integrated in under 5 minutes with just a few lines of code. Simply install the SDK, initialize with your API key, and wrap your existing AI client.

Does Burnwise track my prompts or completions?

No. Burnwise only tracks metadata like token counts, model names, costs, and latency. We never track prompt content, completion content, or any user data within prompts.

How much can I save with Burnwise?

Teams using Burnwise typically reduce their LLM costs by 20-40% through model arbitrage, feature-level optimization, and eliminating waste - all while maintaining output quality.

TEXTGoogle

gemini-3.0-pro Pricing

Google's flagship model with 2M context window.

How much does gemini-3.0-pro cost?

gemini-3.0-pro costs $2 per million input tokens and $12 per million output tokens (January 2026).

Last updated: 2026-01

Pricing

Input

$2.00

per 1M tokens

Output

$12.00

per 1M tokens

Specifications

Context Window

Tier

frontier

Capabilities

textcodereasoningvisionlong-context

Compare gemini-3.0-pro

GPT-5.2 vs Gemini 3.0 Pro Claude Opus 4.5 vs Gemini 3.0 Pro Claude Sonnet 4.5 vs Gemini 3.0 Pro GPT-5.1 vs Gemini 3.0 Pro

Frequently Asked Questions

How much does gemini-3.0-pro cost?

gemini-3.0-pro costs $2 per million input tokens and $12 per million output tokens as of January 2026. For example, processing 1,000 tokens costs $0.002000 for input.