LLM Model Comparator & Cost Estimator
Compare GPT-6 Astra, Claude Opus 5, Claude Sonnet 5, GPT-5.6 Sol, Gemini 3.8 Flash, Grok 4.6, DeepSeek-V4-Pro, and Kimi K3 by pricing and capabilities.
LLM Model Comparison & Selector
Compare GPT-6 Astra, Claude Opus 5, GPT-5.6 Sol, Gemini 3.8 Flash, Grok 4.6, DeepSeek-V4, and Kimi K3 across pricing per 1M tokens, context windows, and estimate your monthly API bills.
Monthly API Usage & Cost Calculator
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
Overview
Interactive LLM comparison and monthly API cost calculator. Compare 20 cutting-edge models including GPT-6 Astra, Claude Opus 5, Claude Sonnet 5, GPT-5.6 Sol, Gemini 3.8 Flash, Grok 4.6, DeepSeek-V4-Pro, Kimi K3, and Mistral Large 3.
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
Fast & IntuitiveSet 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.
Key Highlights & Advantages
Zero server uploads. Everything processes securely within your local browser memory.
Immediate results with no file upload or download queues.
No registration, no paywalls, and no hidden quotas.
Seamlessly optimized for mobile smartphones, tablets, and desktop workstations.
All data processing runs natively via W3C compliant browser hardware acceleration.
- 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.
Frequently Asked Questions
2 Q&AsWhy 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.

