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.

Devstral 2 vs DeepSeek V3.2 (Coding)

Side-by-side comparison of pricing, features, and capabilities

Pricing

Input / 1M tokens

$0.500

$0.270

Output / 1M tokens

$1.50

$1.10

Avg. Cost / 1M

$1.00

$0.685

Specifications

Context Window

N/A

128K

Tier

mid

Provider

Mistral

DeepSeek

Capabilities

Feature

devstral-2

deepseek-v3.2

text

code

reasoning

Verdict

Best for Cost

deepseek-v3.2 is 31% cheaper on average

Best for Quality

Both models are in the same performance tier

Best for Long Documents

deepseek-v3.2 has a larger context window (128K)

Related Comparisons

DeepSeek V3.2 vs GPT-5.1 DeepSeek V3.2 vs Claude Sonnet 4.5 DeepSeek V3.2 vs Gemini 3.0 Flash Devstral 2 vs Claude Sonnet 4.5 (Coding)

Track your AI costs automatically

Burnwise helps you monitor, analyze, and optimize your LLM spending across all providers.

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