Is the GPT-4 API free?

No. Every GPT-4 family model is billed per token consumed. OpenAI provides a limited free tier with rate-restricted access suitable for testing and development, which activates at a cumulative spend of $5. Production workloads require a paid account. The lowest OpenAI API key cost entry point is GPT-4.1 nano at $0.10 per million input tokens. Even then, a high-volume production workload will generate real costs.

How much does the GPT-4 API cost per 1K tokens?

Per 1,000 tokens as of June 2026: GPT-4.1 at $0.002 input / $0.008 output; GPT-4.1 mini at $0.0004 / $0.0016; GPT-4.1 nano at $0.0001 / $0.0004; legacy GPT-4 (8K) at $0.030 / $0.060.

Why is my GPT-4 API bill higher than expected?

The three most common causes: (1) Context accumulation, multi-turn conversations carry the full conversation history as input on every turn, growing your token count with every message. (2) Uncompressed output, not setting max_tokens lets the model respond at whatever length it chooses, and GPT-4 models are verbose by default. (3) Wrong model for the task, running GPT-4 Turbo on a classification task that GPT-4.1 nano could handle is a 100x overpay.

What is the difference between GPT-4o and GPT-4.1 pricing?

GPT-4o is grandfathered at $2.50/$10.00 per million tokens with a 128K context window. GPT-4.1 replaced it in early 2026 at $2.00/$8.00 with a 1M token context window and better instruction-following benchmarks. GPT-4.1 is cheaper on every metric and strictly better on context length. For any new integration, the choice is GPT-4.1. The only reason to stay on GPT-4o api pricing is an existing integration that has not yet been migrated.

How can finance teams forecast and control GPT-4 API spend?

The core challenge is that OpenAI bills per token across a variable workload, unlike EC2 instances, there is no fixed monthly cost to anchor the forecast. Finance teams need three things: (1) a spend-by-model breakdown to identify legacy API endpoints still running, (2) a spend-by-feature breakdown to identify cost outliers, and (3) anomaly detection to catch usage spikes before they hit the invoice. CloudZero provides all three, mapped to the business dimensions that make AI ROI conversations actionable. For the broader strategy, see AI cost management: a finance leader's guide.

Is the GPT-4 family still worth using when GPT-5 exists?

Yes, for most production workloads. GPT-5.5 at $5.00/$30.00 per million tokens is 2.5x more expensive on input than GPT-4.1, for tasks that do not require frontier reasoning, that cost premium is hard to justify. OpenAI's own guidance recommends GPT-4.1 as the production workhorse and GPT-5.x for complex reasoning tasks. For classification, summarization, chat, code generation, and long-document analysis, GPT-4.1 delivers the best price-to-quality ratio in the current lineup. The LLM API pricing comparison has the cross-provider view if you are evaluating alternatives.

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