GPT-5.4 API Pricing
OpenAI's more affordable frontier model for coding, professional work, and agentic workflows: $2.50/M input, $15/M output, and $0.25/M cached input in the standard short-context tier. OpenAI lists a separate long-context tier above 272K input tokens.
GPT-5.4 API cost calculator.
Live calculator pre-loaded with current GPT-5.4 standard short-context rates. For prompts above 272K input tokens, use the long-context tier shown in the FAQ.
GPT-5.4 cost on real workloads.
Professional workflow assistant
Repo-wide feature build
Reading 150-page contracts
Multi-step market brief
Premium support ticket
Counted with the o200k_base BPE encoding — the same tokenizer the API uses — entirely in your browser. The encoder loads on your first keystroke (~1 MB, one time); your text never leaves this page.
| Model | Input /M | Output /M | Effective blended | Context | Best for |
|---|---|---|---|---|---|
| GPT-5.4 Current | $2.50 cache $0.25 | $15.00 | $1.80 agentic 92/8 | 1.05M | Affordable OpenAI frontier work |
| GPT-5.5 | $5.00 cache $0.50 | $30.00 | $3.61 +2.0× | 1M | Frontier coding and professional agents |
| GPT-5.4 Pro | $30.00 | $180 | $42.00 +23× | 1.05M | Hardest GPT-5.4 reasoning |
| GPT-5.4 mini | $0.75 cache $0.075 | $4.50 | $0.541 −3.3× | 400K | Lower-latency subagents |
| Claude Opus 4.7 | $5.00 cache $0.50 | $25.00 | $3.41 +89% | 1M | Anthropic frontier reasoning |
| Gemini 3.8 Flash | $0.75 cache $0.075 | $3.75 | $0.481 −3.7× · promo | 1M | Large multimodal context |
| DeepSeek V4 Pro | $1.32 cache $0.044 | $3.96 | $0.569 −3.2× | 1M | Low-cost reasoning workloads |
| DeepSeek V4.1 Flash | $0.30 cache $0.006 | $1.20 | $0.15 −12× | 1M | Bulk low-cost traffic |
GPT-5.4 has published scores on 3 benchmarks we track; its best placing is #23 of 105 on ARC-AGI-2. All of these scores come from independent leaderboards, not from the lab.
| Benchmark | Score | Rank | Leader | Source |
|---|---|---|---|---|
| ARC-AGI-2 Reasoning | 74% ARC Prize verified, best result | #23 of 105 | GPT-6 Astra · 95% | Official leaderboard ARC Prize Foundation |
| ARC-AGI-1 Reasoning | 93.7% ARC Prize verified, best result | #24 of 99 | 6 tied · 98.5% | Official leaderboard ARC Prize Foundation |
| ARC-AGI-3 Reasoning · Standard harness | 0.2% ARC Prize verified, best result | #18 of 24 | GPT-6 Astra · 62.7% | Official leaderboard ARC Prize Foundation |
GPT-5.4 API pricing FAQ.
Practical GPT-5.4 pricing questions, with OpenAI's published rates separated from workload assumptions.
Q · 01 What is the standard GPT-5.4 API price? +
gpt-5.4 at $2.50/M input tokens, $0.25/M cached input tokens, and $15/M output tokens in the standard short-context tier. This page stores the public list price in USD and marks the source as OpenAI's pricing docs.Q · 02 When does GPT-5.4 long-context pricing apply? +
272K input tokens, the long-context tier is listed at $5/M input, $0.50/M cached input, and $22.50/M output. The calculator on this page uses the standard short-context tier unless you open a long-context variant.Q · 03 How much cheaper are Batch and Flex? +
gpt-5.4 at half the standard short-context rate: $1.25/M input, $0.13/M cached input, and $7.50/M output. Long-context Batch/Flex is listed at $2.50/M input, $0.25/M cached input, and $11.25/M output.Q · 04 What does Priority processing cost? +
gpt-5.4 at $5/M input, $0.50/M cached input, and $30/M output. That is 2x the standard short-context list price, so reserve it for latency-sensitive production traffic rather than batch analysis.Q · 05 Does GPT-5.4 have regional pricing? +
10% uplift for gpt-5.4 and related GPT-5.4/5.5 models. Standard global routing uses the public standard rate.Q · 06 Is GPT-5.4 cheaper than GPT-5.5? +
$2.50/M input, $0.25/M cached input, and $15/M output. In the shared 92/8 agentic blend with 82% cache hits, GPT-5.4 lands near $1.80/M while GPT-5.5 lands near $3.61/M.Q · 07 What release date is used here? +
gpt-5.4. This page uses 2026-03-05 as the API release date.Q · 08 How accurate is the tokenizer estimate? +
4.875 characters per token for English text and labels the tokenizer as tiktoken-o200k_base. It is good for budget planning, but exact billing can differ by language, whitespace, code, tool calls, and image inputs.