Calculate the exact cost of your AI API usage across GPT-5.2, Claude Sonnet 4.5, Gemini 3 Flash, DeepSeek, and more. Input your token volumes and see costs side by side.
Free preview, Starter for the Auto lane, Teams for manual GPT, Claude, and Gemini Pro access. Add-on credits kick in after included plan tokens are used.
Start on cheap auto-routed models first, then move up only when your workload truly needs premium manual control.
Every AI model charges separately for input tokens (what you send) and output tokens (what the model generates). Prices are quoted per million tokens. A million tokens is roughly 750,000 words. Input is always cheaper than output because generation requires more compute. The ratio varies by model: GPT-5.2 charges 4x more for output, while Gemini 3 Flash charges 4x more for output as well. Always factor in both sides when estimating costs.
Here are the per-million-token prices for the most popular models: GPT-5.2 ($3.00 input / $12.00 output), Claude Sonnet 4.5 ($2.50 / $10.00), Gemini 3 Flash ($0.10 / $0.40), DeepSeek V3 ($0.14 / $0.28), Claude Haiku 4.5 ($0.20 / $0.80), GPT-5.2 Mini ($0.30 / $1.20), Grok 3 ($3.00 / $9.00), Llama 4 Maverick ($0.20 / $0.60 via hosted providers). Prices change frequently - check provider pricing pages for the latest numbers.
Scenario A (startup chatbot, 10K messages/month, avg 500 input + 300 output tokens): GPT-5.2 costs $51/mo, Claude Sonnet $38/mo, Gemini Flash $1.70/mo. Scenario B (enterprise platform, 100K messages/month, avg 1000 input + 500 output tokens): GPT-5.2 costs $900/mo, Claude Sonnet $750/mo, Gemini Flash $34/mo, DeepSeek V3 $28/mo. Scenario C (high-volume API, 500K calls/month, avg 200 input + 100 output tokens): GPT-5.2 costs $900/mo, Gemini Flash $30/mo. The cost gap between frontier and budget models is enormous at scale.
Most applications send a mix of simple and complex queries. A customer support bot might field 60% routine questions and 40% complex ones. Auto-routing sends the simple queries to Gemini Flash or DeepSeek V3 (10-30x cheaper) and reserves frontier models for the hard problems. LLMWise's auto-router does this with zero-latency heuristic classification - no ML overhead, no extra API call. Typical savings: 25-40% on your total bill without any quality loss on the simple queries.
With Bring Your Own Key, you pay the provider directly at their listed rates. LLMWise charges zero credits for BYOK traffic - you get routing, failover, and analytics for free. With LLMWise credits, you pay a per-request cost (1 credit for chat, 3 for compare, 4 for blend, 5 for judge) that covers the underlying token cost plus the platform. Credits are simpler to budget but may cost slightly more per token than direct provider billing at very high volumes.
OpenAI: small trial credit for new accounts, expires quickly. Anthropic: no free tier, though some third-party integrations offer limited free access. Google: Gemini Flash has a generous free tier in AI Studio (60 requests/minute). DeepSeek: no free tier but extremely low prices. LLMWise: 20 free credits on signup covering all models, no credit card required. For testing and prototyping, LLMWise's free credits are the most flexible because they work across every model.
Operational checklist coverage for teams implementing this workflow in production.
Free preview, Starter for the Auto lane, Teams for manual GPT, Claude, and Gemini Pro access. Add-on credits kick in after included plan tokens are used.
Start on cheap auto-routed models first, then move up only when your workload truly needs premium manual control.
Pricing changes, new model launches, and optimization tips. No spam.