AI API Pricing
How AI API Pricing Works
Most commercial AI APIs use a per-token pricing model. A token is the smallest unit of text processed by the model — typically 1 English word equals about 1-1.3 tokens, while 1 Chinese character equals about 1.5-2 tokens. Costs are split into two parts:
- Input price (Prompt): The number of tokens you send to the model, including system prompts, context, and user messages.
- Output price (Completion): The number of tokens the model generates in its response.
Output pricing is typically 2-5x higher than input pricing because generating tokens requires more computational resources. Prices are quoted per million tokens (1M tokens). For example, GPT-4o's input price of $2.50/1M tokens means processing 1 million input tokens costs $2.50.
Understanding the pricing structure is the first step to controlling AI development costs. This page provides a comprehensive pricing comparison for all major models in 2026, an interactive cost calculator, and model recommendations for different use cases.
Complete AI API Pricing Table (2026)
The table below lists API pricing for all major AI models, grouped by provider. Prices are in USD per million tokens. Click headers to sort.
| Provider ▴▾ | Model ▴▾ | Context ▴▾ | Input $/1M ▴▾ | Output $/1M ▴▾ | RPM Limit | Notes |
|---|---|---|---|---|---|---|
| OpenAI | GPT-4o | 128K | $2.50 | $10.00 | 500 | Flagship multimodal |
| OpenAI | GPT-4o Mini | 128K | $0.15 | $0.60 | 500 | Best value for money |
| OpenAI | GPT-4 Turbo | 128K | $10.00 | $30.00 | 500 | Legacy, migrate to 4o |
| OpenAI | o1 | 200K | $15.00 | $60.00 | 100 | Reasoning model, deep thinking |
| OpenAI | o1-mini | 128K | $3.00 | $12.00 | 200 | Lightweight reasoning |
| Anthropic | Claude Sonnet 4 | 200K | $3.00 | $15.00 | 1000 | Best for code & analysis |
| Anthropic | Claude Haiku 3.5 | 200K | $0.80 | $4.00 | 1000 | Fast lightweight tasks |
| Anthropic | Claude Opus 4 | 200K | $15.00 | $75.00 | 250 | Strongest reasoning |
| Gemini 2.0 Flash | 1M | $0.10 | $0.40 | 2000 | Best price + huge context | |
| Gemini 1.5 Pro | 1M | $1.25 | $5.00 | 360 | Long document analysis | |
| Gemini 1.5 Flash | 1M | $0.075 | $0.30 | 2000 | One of the cheapest options | |
| DeepSeek | DeepSeek V3 | 128K | $0.27 | $1.10 | 500 | Best value for Chinese |
| Mistral | Mistral Large | 128K | $2.00 | $6.00 | 300 | European, multilingual |
| Groq | Llama 3.1 70B | 128K | $0.59 | $0.79 | 30 | Ultra-low latency inference |
Pricing Notes
Prices above are standard on-demand API prices as of April 2026. Batch APIs typically offer a 50% discount. Enterprise contracts and committed-use discounts are negotiated separately. Prices may change at any time — always check official documentation. Gemini 1.5 Flash's $0.075 applies within 128K context; beyond 128K the price doubles.
Monthly API Cost Calculator
Enter your estimated monthly token usage to see a cost ranking across all models. 1M = 1 million tokens, roughly 750K English words or 500K Chinese characters.
| # | Model | Monthly Cost | Input Cost | Output Cost |
|---|
Best Models by Use Case
Different business scenarios have very different requirements for model capability and cost. The table below recommends the most cost-effective model for each typical use case.
| Use Case | Characteristics | Recommended | Est. Cost/mo | Rationale |
|---|---|---|---|---|
| Chat Assistant | High volume, simple dialogs | GPT-4o Mini | ~$21 (10M in/2M out) | $0.15/$0.60 ultra-low price, sufficient for daily chat |
| Code Generation | Medium volume, needs quality | Claude Sonnet 4 | ~$60 (10M in/2M out) | Industry-leading code quality, 200K context for large projects |
| Document Analysis | Long input, short output | Gemini 2.0 Flash | ~$4.80 (10M in/2M out) | 1M context + ultra-low price, read long docs in one pass |
| Creative Writing | Medium input, large output | DeepSeek V3 | ~$4.90 (2M in/2M out) | Excellent writing quality at affordable prices |
| Data Extraction | Structured output, batch | Gemini 1.5 Flash | ~$1.35 (10M in/2M out) | One of the lowest prices, reliable JSON output |
API Cost Optimization Tips
These 8 strategies can significantly reduce your AI API spending:
1. Tiered Model Routing
Assign different models to different task complexities. Use GPT-4o Mini ($0.15) for simple classification/summarization, reserve Claude Sonnet 4 ($3.00) for complex reasoning. A simple LLM router can save 60-80% of costs.
2. Implement Semantic Caching
Cache results for similar queries. Use a vector DB (e.g., Qdrant) to store prompt-response pairs and return cached results when similarity exceeds a threshold. Can reduce API calls by 30-50% in typical scenarios.
3. Use Batch APIs
Both OpenAI and Anthropic offer Batch APIs at 50% of standard pricing. Perfect for non-real-time use cases like data labeling, bulk translation, and content moderation.
4. Optimize Prompt Length
Trim system prompts, remove redundant instructions. Use few-shot examples instead of lengthy explanations. An optimized prompt can reduce input tokens by 40% while maintaining output quality.
5. Consider Open-Source Models
For high-throughput scenarios (100M+ tokens/day), self-hosting Llama 3.1 70B or DeepSeek V3 can reduce marginal costs to 1/5-1/10 of closed-source APIs. Use vLLM or TGI to maximize throughput.
6. Use Streaming Responses
Streaming does not reduce costs directly, but significantly improves UX and reduces users re-submitting requests while waiting. Indirectly cuts ~10-15% of wasted calls.
7. Set Usage Monitoring & Limits
Set monthly spending caps at the API key level. Use OpenAI/Anthropic usage dashboards to monitor daily spending trends. Catching anomalous calls early prevents surprise bills.
8. Leverage Prompt Caching
Both Anthropic and OpenAI support Prompt Caching — cached tokens for repeated system prompts or long context cost as little as 10% of the original price. Ideal for RAG and multi-turn conversation scenarios.
Free Tiers & Credits
Most AI API providers offer free tiers or trial credits, suitable for development testing and personal projects:
| Provider | Free Offer | Validity | Limits | Best For |
|---|---|---|---|---|
| OpenAI | $5 credit | 3 months after signup | GPT-3.5/4o Mini only | Getting started |
| Anthropic | Free tier | Ongoing | Rate limits, daily caps | Small-scale dev |
| Gemini free | Ongoing | 15 RPM / 1M TPD | Prototyping | |
| Groq | Free tier | Ongoing | 30 RPM, open models | Fast inference testing |
| Mistral | Free trial | 1 month after signup | Limited request quota | Model evaluation |
| DeepSeek | $5 credit | 1 month after signup | All models available | Chinese NLP testing |
Related Tools
Use these tools alongside to better manage your AI API costs:
- Token Counter — Precisely count tokens in your prompts to estimate API call costs
- AI Models Comparison — Compare models across more dimensions: performance, benchmarks, deployment