GPT-5 API Cost: Complete Pricing Guide 2026
GPT-5 is OpenAI's most capable general-purpose model, priced at $1.25/M input tokens and $10.00/M output tokens. That's 50% cheaper on input than GPT-4o ($2.50/M) and 75% cheaper than GPT-5.5 ($5/M) -- with a 272K token context window that handles the vast majority of production workloads.
Whether you're building a chatbot, a code assistant, a RAG pipeline, or an enterprise document processor, this guide covers everything you need to know about GPT-5 API costs: all five GPT-5 family models, real-world cost scenarios, head-to-head comparisons with Claude Sonnet 4.6, Gemini 3.1 Pro, and DeepSeek V4 Pro, and five proven strategies to cut your API bill.
GPT-5 Family: Complete Pricing Breakdown
OpenAI currently offers five GPT-5 series models. Here's how they compare on price, context, and capabilities:
| Model | Input (per 1M tokens) | Output (per 1M tokens) | Context Window | Tier |
|---|---|---|---|---|
| GPT-5 | $1.25 | $10.00 | 272K | Mid-Premium |
| GPT-5 mini | $0.25 | $2.00 | 272K | Budget |
| GPT-5.5 | $5.00 | $30.00 | 1.05M | Premium |
| GPT-5.5 Pro | $30.00 | $180.00 | 1.05M | Ultra-Premium |
| GPT-5.3 Codex | $1.75 | $14.00 | 400K | Code Specialist |
Key insight: GPT-5 and GPT-5 mini share the same 272K context window. GPT-5.5 and GPT-5.5 Pro share a 1.05M window. GPT-5.3 Codex sits in between at 400K, optimized specifically for code generation tasks. The cost difference between models is dramatic: GPT-5.5 Pro is 24x more expensive on input than GPT-5.
Real-World GPT-5 Cost Scenarios
Abstract per-token pricing is hard to translate into real budgets. Here are four concrete scenarios showing exactly what you'll pay.
Scenario 1: Customer Support Chatbot (5,000 messages/day)
Average per message: 1,500 input tokens, 500 output tokens. 30 days/month.
Monthly Chatbot Cost
Verdict: GPT-5 mini at $112.50/mo is the best value for chatbots -- 80% cheaper than GPT-5 and 88% cheaper than Claude Sonnet 4.6. If you need GPT-5's quality, it's still 37% cheaper than Claude Sonnet 4.6.
Scenario 2: Content Generation (500 articles/month)
Average per article: 2,000 input tokens, 1,500 output tokens. 30 days/month.
Monthly Content Generation Cost
Verdict: For content generation, GPT-5 at $1,000/mo is 33% cheaper than Claude Sonnet 4.6 and 9% cheaper than Gemini 3.1 Pro. Output tokens drive costs here (1,500 per article), so the output price difference matters more than input.
Scenario 3: Code Assistant (1,000 requests/day)
Average per request: 3,000 input tokens, 1,200 output tokens. 30 days/month.
Monthly Code Assistant Cost
Verdict: GPT-5.3 Codex at $840/mo offers the best balance of code quality and cost -- 43% cheaper than GPT-5 while being purpose-built for code. DeepSeek V4 Pro ($476.55/mo) is 68% cheaper but may not match code quality for complex refactors.
Scenario 4: Enterprise Document Processing (100 documents/day)
Average per document: 15,000 input tokens, 1,000 output tokens. 30 days/month.
Monthly Document Processing Cost
Verdict: Enterprise document processing is input-heavy (15K tokens per doc), so input pricing dominates. GPT-5 at $4,350/mo is 52% cheaper than Claude Sonnet 4.6. If your documents exceed 272K tokens, you'll need GPT-5.5 or Gemini 3.1 Pro with their 1M+ context windows.
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| Model | Input Cost | Output Cost | Total/Month |
|---|---|---|---|
| GPT-5 | $12.50 | $50.00 | $62.50 |
| GPT-5 mini | $2.50 | $10.00 | $12.50 |
| GPT-5.5 | $50.00 | $150.00 | $200.00 |
| GPT-5.5 Pro | $300.00 | $900.00 | $1,200.00 |
| GPT-5.3 Codex | $17.50 | $70.00 | $87.50 |
Prices shown are list prices without volume discounts or prompt caching. Full calculator with competitors →
GPT-5 vs Competitors: Full Comparison
GPT-5 doesn't exist in a vacuum. Here's how it stacks up against the three most popular alternatives for mid-range API workloads.
| Model | Input/1M | Output/1M | Context | vs GPT-5 |
|---|---|---|---|---|
| GPT-5 | $1.25 | $10.00 | 272K | Baseline |
| Claude Sonnet 4.6 | $3.00 | $15.00 | 1M | 140% more input, 50% more output |
| Gemini 3.1 Pro | $2.00 | $12.00 | 1M | 60% more input, 20% more output |
| DeepSeek V4 Pro | $0.435 | $0.87 | 1M | 65% cheaper input, 91% cheaper output |
GPT-5 vs Claude Sonnet 4.6
Claude Sonnet 4.6 costs $3/$15 per 1M tokens compared to GPT-5's $1.25/$10. GPT-5 is 58% cheaper on input and 33% cheaper on output. Claude Sonnet 4.6 has a larger context window (1M vs 272K) and is known for strong instruction following. For most workloads under 272K tokens, GPT-5 delivers better value. If you need a larger context window, consider Gemini 3.1 Pro which is cheaper than Claude Sonnet 4.6 with the same 1M context.
GPT-5 vs Gemini 3.1 Pro
Gemini 3.1 Pro at $2/$12 is 60% more expensive on input and 20% more expensive on output than GPT-5. However, Gemini 3.1 Pro offers a 1M token context window (vs GPT-5's 272K). For tasks requiring very long context -- like processing entire codebases or long documents -- Gemini 3.1 Pro may be worth the premium. For standard workloads, GPT-5 wins on price.
GPT-5 vs DeepSeek V4 Pro
DeepSeek V4 Pro at $0.435/$0.87 is dramatically cheaper: 65% less on input, 91% less on output. DeepSeek V4 Pro also offers a 1M context window. The tradeoff is output quality -- GPT-5 generally produces better reasoning, more accurate code, and more natural language. For high-volume workloads where quality can be validated programmatically, DeepSeek V4 Pro is a compelling budget option.
When to Choose Each Model
| Use Case | Best Model | Why |
|---|---|---|
| General chatbot | GPT-5 mini | $0.25/$2 -- 80% cheaper than GPT-5, handles most queries well |
| Complex reasoning | GPT-5 | $1.25/$10 -- best balance of quality and cost |
| Code generation | GPT-5.3 Codex | $1.75/$14 -- purpose-built for code, 400K context |
| Long document analysis | Gemini 3.1 Pro | $2/$12 -- 1M context at a reasonable price |
| Maximum quality | GPT-5.5 | $5/$30 -- best reasoning, 1M context |
| High-volume, budget-first | DeepSeek V4 Pro | $0.435/$0.87 -- cheapest capable model with 1M context |
| Structured data extraction | GPT-5 mini | $0.25/$2 -- structured output at minimal cost |
5 GPT-5 Cost Optimization Strategies
- Model routing: Use GPT-5 mini for 70% of requests (simple queries, classification, extraction) and reserve GPT-5 for complex tasks. This alone can cut costs 50-60% without quality loss on straightforward workloads.
- Set max_tokens: Output tokens cost 8x more than input tokens on GPT-5. Setting a reasonable max_tokens limit (e.g., 500 instead of unbounded) prevents runaway output generation that can double or triple your bill.
- Prompt caching: OpenAI's prompt caching automatically reduces costs for repeated system prompts. Structure your prompts to put static content (system instructions, context) at the beginning and dynamic content (user queries) at the end.
- Batch processing: Group similar requests together instead of sending them one-by-one. This reduces API overhead and allows you to optimize prompts more efficiently. Batch API pricing can be up to 50% cheaper for non-urgent workloads.
- Right-size your model: Not every task needs GPT-5. Use GPT-5 mini for chatbots and summarization, GPT-4o mini for simple extraction, and reserve GPT-5 for tasks that genuinely benefit from its capabilities. Over-provisioning is the most common cost mistake.
The Bottom Line
GPT-5 at $1.25/$10 per 1M tokens is the best all-around value for most API workloads in 2026. It's cheaper than Claude Sonnet 4.6 and Gemini 3.1 Pro on both input and output, with a 272K context window that covers the vast majority of use cases. Use GPT-5 mini ($0.25/$2) for high-volume simple tasks, GPT-5.3 Codex ($1.75/$14) for code-heavy workloads, and GPT-5.5 ($5/$30) only when you need the 1M context window or maximum reasoning capability. For budget-first teams, DeepSeek V4 Pro ($0.435/$0.87) offers unbeatable pricing with a 1M context window.
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Try the Free Cost Calculator or Compare All ModelsFrequently Asked Questions
How much does the GPT-5 API cost?
GPT-5 costs $1.25 per 1M input tokens and $10.00 per 1M output tokens, with a 272K token context window. GPT-5 mini is cheaper at $0.25/$2.00 per 1M tokens. For comparison, GPT-5.5 costs $5/$30 and GPT-5.5 Pro costs $30/$180.
Is GPT-5 cheaper than Claude Sonnet 4.6?
Yes. GPT-5 costs $1.25/$10 per 1M tokens while Claude Sonnet 4.6 costs $3/$15. GPT-5 is 58% cheaper on input and 33% cheaper on output. For a workload of 1M input and 500K output tokens per month, GPT-5 costs $6.25 vs Claude Sonnet 4.6 at $10.50 -- saving $4.25 per million token-equivalents.
How does GPT-5 compare to Gemini 3.1 Pro and DeepSeek V4 Pro?
GPT-5 ($1.25/$10) is 37% cheaper on input than Gemini 3.1 Pro ($2/$12) and 19% cheaper on output. DeepSeek V4 Pro ($0.435/$0.87) is 65% cheaper on input and 91% cheaper on output than GPT-5, but GPT-5 generally produces higher quality output for complex reasoning and coding tasks. Both GPT-5 and Gemini 3.1 Pro have strong code generation capabilities.
What is the cheapest GPT-5 model for high-volume workloads?
GPT-5 mini at $0.25/$2 per 1M tokens is the cheapest GPT-5 model. It handles chatbots, summarization, and data extraction well at 80% less cost than GPT-5. For structured data extraction, GPT-4o mini ($0.15/$0.60) is even cheaper at 88% less than GPT-5.
How can I reduce my GPT-5 API costs?
Five effective strategies: (1) Route 70% of simple tasks to GPT-5 mini to save 80%, (2) Set max_tokens to limit output since output tokens cost 8x more than input, (3) Use prompt caching for repeated system prompts, (4) Batch similar requests together to reduce API overhead, (5) Use the cheapest model that meets quality requirements -- GPT-4o mini for extraction, GPT-5 mini for chat, GPT-5 for complex tasks.
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