Confronto Modelli LLM e Calcolatore Costi
Confronta GPT-6 Astra, Claude Opus 5, GPT-5.6 Sol, Gemini 3.8 Flash, Grok 4.6 e DeepSeek-V4 per costi API e punti di forza.
Confronto e Selezione Modelli LLM
Confronta GPT-6 Astra, Claude Opus 5, GPT-5.6 Sol, Gemini 3.8 Flash, Grok 4.6 e DeepSeek-V4 per costi a token, finestra di contesto e calcola la spesa API mensile.
Calcolatore Costi API Mensili
DeepSeek-V4-Flash
Gemini 3.5 Flash
Gemini 3.7 Flash
GPT-5.6 Luna
GLM 5.3 Flash
Gemini 3.8 Flash
Mistral Small 4
Gemini Omni Flash
DeepSeek-V4-Pro
Mistral Medium 3.5
GLM 5.2
Kimi K3
GPT-5.6 Terra
Gemini 3.1 Pro
Grok 4.6
Mistral Large 3
Claude Sonnet 5
GPT-5.6 Sol
GPT-6 Astra
Claude Opus 5
Panoramica
Calcolatore interattivo per confrontare 20 modelli LLM all'avanguardia tra cui GPT-6 Astra, Claude Opus 5, GPT-5.6 Sol e Gemini 3.8.
LLM Model Comparator & Cost Estimator Guide
Choosing the optimal LLM requires balancing reasoning capability, context window capacity, latency, and token pricing.
Models like Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, and DeepSeek V3 have widely varying per-million-token costs.
Use our interactive comparison table and cost estimator to forecast your monthly production API bills.
How to Compare LLMs and Estimate Costs
Veloce & IntuitivoSet Expected Token Volume
Adjust input and output token sliders to reflect your monthly workload.
Filter by Use Case
Narrow down models optimized for coding, high-speed routing, or budget efficiency.
Evaluate ROI
Review estimated monthly spending side-by-side with benchmark metrics.
Caratteristiche Principali e Vantaggi
Nessun caricamento su server. Tutto resta sicuro sul tuo computer o telefono.
Risultati immediati senza code di download o upload.
Nessuna registrazione richiesta e nessun costo nascosto.
Esperienza fluida su smartphone, tablet e PC desktop.
Elaborazione dati rapida e sicura conforme agli standard web moderni.
- Use tiered routing: dispatch easy classification tasks to lightweight models and reserve frontier models for synthesis.
- Monitor token consumption trends to avoid unexpected monthly bill surges.
Domande Frequenti
2 Domande e RisposteWhy are output tokens more expensive than input tokens?
Output tokens require sequential KV cache operations and memory bandwidth, whereas inputs are processed in parallel batches.
What is Context Caching?
Providers like Anthropic and Google offer discounts up to 75-90% for reusing static context (prompts, docs) across requests.

