Calculate Your AI Costs
Accurately model production API bills, forecast SaaS unit economics, and calculate consumer credit burn rates across every top AI model.
AI generation pricing varies by provider, model, resolution, duration, quality, and billing system. We use published provider pricing wherever available. Credit-based calculations use the provider's documented credit consumption. API calculations use developer/API pricing and are strictly separated from consumer subscription limits.
Comprehensive AI Model Benchmark & Token Dataset (2026)
Raw, crawlable comparison table showing input, cached input, and output rates per 1,000,000 tokens.
| Model & Provider | Context Window | Input / 1M | Cached Input / 1M | Output / 1M | Batch 50% | Recommended Host | Endpoint |
|---|---|---|---|---|---|---|---|
OpenAI GPT-6 AstraPopular OpenAI | 1,050k | $10.00 | $5.00(-50%) | $50.00 | Supported | OpenRouter | Deploy |
OpenAI o3Popular OpenAI | 200k | $2.00 | $1.00(-50%) | $8.00 | Supported | OpenRouter | Deploy |
OpenAI o4 MiniPopular OpenAI | 200k | $1.10 | $0.55(-50%) | $4.40 | Supported | OpenRouter | Deploy |
OpenAI GPT-5.4 Mini OpenAI | 400k | $0.75 | $0.38(-50%) | $4.50 | Supported | OpenRouter | Deploy |
GPT-4o (Omni) OpenAI | 128k | $2.50 | $1.25(-50%) | $10.00 | Supported | OpenRouter | Deploy |
GPT-4o mini OpenAI | 128k | $0.15 | $0.07(-50%) | $0.60 | Supported | OpenRouter | Deploy |
Claude Sonnet 5Popular Anthropic | 1,000k | $2.00 | $0.20(-90%) | $10.00 | Supported | OpenRouter | Deploy |
Claude Opus 5 Anthropic | 1,000k | $5.00 | $0.50(-90%) | $25.00 | Supported | OpenRouter | Deploy |
Claude Fable 5.1 Anthropic | 1,000k | $10.00 | $1.00(-90%) | $50.00 | Supported | OpenRouter | Deploy |
Claude 3.5 SonnetPopular Anthropic | 200k | $3.00 | $0.30(-90%) | $15.00 | Supported | OpenRouter | Deploy |
Claude Haiku 4.5 Anthropic | 200k | $1.00 | $0.10(-90%) | $5.00 | Supported | OpenRouter | Deploy |
Gemini 3.8 FlashPopular Google | 1,048.576k | $0.75 | $0.19(-75%) | $3.75 | Supported | OpenRouter | Deploy |
Gemini 3.5 FlashPopular Google | 1,048.576k | $1.50 | $0.38(-75%) | $9.00 | Supported | OpenRouter | Deploy |
Gemini 3.5 Flash Lite Google | 1,048.576k | $0.30 | $0.07(-75%) | $2.50 | Supported | OpenRouter | Deploy |
Gemini 3.1 Pro Preview Google | 1,048.576k | $2.00 | $0.50(-75%) | $12.00 | Supported | Google AI Studio | Official |
DeepSeek V3Popular DeepSeek | 163.84k | $0.26 | $0.07(-73%) | $1.03 | — | DeepInfra | Deploy |
DeepSeek R1Popular DeepSeek | 64k | $0.70 | $0.17(-75%) | $2.50 | — | Together AI | Deploy |
Llama 3.3 70B InstructPopular Meta | 131.072k | $0.10 | $0.05(-50%) | $0.32 | — | Groq | Deploy |
Llama 3.1 8B Instruct Meta | 131.072k | $0.05 | $0.02(-60%) | $0.08 | — | Groq | Deploy |
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Frequently Asked Questions About AI Token Economics
Essential architectural guidance on token math, prompt caching KV state reuse, and infrastructure cost optimization.
Q.How is LLM API pricing calculated?
LLM providers bill based on tokens processed. Pricing is split into two rates: Prompt (Input) tokens and Completion (Output) tokens. One million tokens is roughly 750,000 words. Because generating new text requires iterative autoregressive decoding on GPUs, output tokens are generally 3x to 5x more expensive than input tokens.
Q.What is prompt caching and how much does it save?
Prompt caching allows providers like Anthropic, OpenAI, and Google to reuse key-value (KV) attention states for static context (such as system instructions, PDF documents, or few-shot examples) across multiple requests. Cache read hits reduce input pricing by 50% to 90% and significantly cut down time-to-first-token (TTFT) latency.
Q.What is the Batch API discount?
Both OpenAI and Anthropic offer a 50% discount on standard token rates if requests are submitted through their Batch API. In exchange for lower pricing, requests are processed asynchronously within a 24-hour turnaround window rather than with real-time low latency. This is ideal for bulk content generation, classification, and backfilling embeddings.
Q.What is the cheapest frontier LLM API in 2026?
As of 2026, DeepSeek V3 ($0.26/M in, $1.03/M out) and Google Gemini 3.5 Flash Lite ($0.30/M in, $2.50/M out) offer industry-leading economics for production workloads. For high-reasoning workloads, Claude Sonnet 5 ($2.00/M in, $10.00/M out) and OpenAI o4 Mini ($1.10/M in, $4.40/M out) deliver exceptional reasoning-to-cost ratios.
Q.How many tokens are in a standard page or 1,000 words?
A general rule of thumb for English text is that 1 token ≈ 4 characters or ~0.75 words. Therefore, 1,000 words is approximately 1,333 tokens. A standard single-spaced typed page (approx. 500 words) translates to roughly 650 to 700 tokens.
Q.Are thinking / reasoning tokens billed separately?
Reasoning models like OpenAI o3, o4 Mini, and DeepSeek R1 generate internal 'thinking tokens' before returning the visible response. While these reasoning tokens are not returned in the final markdown output, they are counted and billed at the higher completion/output token rate.