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.

TEXTOpenAI

gpt-4.1-nano Pricing

Ultra-efficient GPT-4 for high-volume applications.

How much does gpt-4.1-nano cost?

gpt-4.1-nano costs $0.1 per million input tokens and $0.4 per million output tokens (January 2026).

Last updated: 2026-01

Pricing

Input

$0.100

per 1M tokens

Output

$0.400

per 1M tokens

Specifications

Context Window

Tier

budget

Capabilities

textlong-context

Compare gpt-4.1-nano

GPT-4.1 Nano vs Gemini 2.5 Flash Lite

Frequently Asked Questions

How much does gpt-4.1-nano cost?

gpt-4.1-nano costs $0.1 per million input tokens and $0.4 per million output tokens as of January 2026. For example, processing 1,000 tokens costs $0.000100 for input.