OpenAI Model Lineup (April 2026)
LLM API prices dropped roughly 80% since 2024. OpenAI's GPT-5 family now spans five tiers:
| Model | Input (per 1M) | Output (per 1M) | Context | Best For |
|---|---|---|---|---|
| GPT-5 Nano | $0.05 | $0.40 | 128K | High-volume classification, extraction |
| GPT-5.4 | $2.50 | $10.00 | 128K | General production use |
| GPT-5.1 | $5.00 | $15.00 | 400K | Long-context document analysis |
| GPT-5 | $10.00 | $30.00 | 256K | Complex reasoning, multi-step agents |
| O3 Pro | $150.00 | $600.00 | 200K | Frontier reasoning, math, research |
Prices as of April 2026. Check OpenAI's pricing page for current rates.
Monthly Cost Estimates
Practical monthly costs assuming 1,000 input tokens and 500 output tokens per average request:
| Daily Requests | GPT-5 Nano | GPT-5.4 | GPT-5 |
|---|---|---|---|
| 1,000 | $7.50 | $225 | $750 |
| 10,000 | $75 | $2,250 | $7,500 |
| 100,000 | $750 | $22,500 | $75,000 |
Understanding OpenAI's Model Tiers
GPT-5 Nano is the budget champion at $0.05/$0.40. At this price point, it handles classification, entity extraction, sentiment analysis, and simple Q&A at near-zero cost. Perfect for high-volume pipelines processing millions of requests daily.
GPT-5.4 is the production workhorse at $2.50/$10.00. It offers strong performance across all task types with mature function calling and tool use. Most applications should default here — it handles 80%+ of real-world workloads effectively.
GPT-5.1 brings a 400K context window at $5.00/$15.00, designed for long document analysis, large codebases, and tasks that need extensive context. The largest context in the GPT family.
GPT-5 is the flagship at $10.00/$30.00, excelling at complex agentic reasoning, multi-step planning, and tool orchestration. Reserve for high-value tasks where GPT-5.4 measurably underperforms.
O3 Pro at $150/$600 is the frontier reasoning model — math proofs, research, and problems that require deep multi-step thinking. Not for general production use.
Cost Optimization for OpenAI APIs
- Model tiering: Route simple tasks to GPT-5 Nano, production workloads to GPT-5.4, and only use GPT-5 when needed. This alone cuts costs 60-80%.
- Prompt caching (50% off): OpenAI automatically caches repeated prompt prefixes. A 2,000-token system prompt called 10K times/day saves ~$300/month on GPT-5.
- Batch API (50% off): Non-real-time workloads get a flat 50% discount. GPT-5 drops to $5/$15 — matching Claude Opus 4.6's standard rate.
- Structured outputs: JSON mode reduces wasted tokens and retries.
OpenAI + Hybrid Routing
Token Landing extends OpenAI's model tiering with cross-provider routing. Blend GPT-5.4 with Claude Sonnet 4.6 for better code generation or DeepSeek V3.2 for budget bulk processing — all through the same OpenAI-compatible API endpoint.
Effective blended rate: $0.80-2.00/$3.00-8.00 per 1M tokens with quality configurable per route.