GPT-5 API Pricing in 2026: Every Model from Nano to Pro, Real Costs, and How to Save 50-90%

TokenMix Research Lab · 2026-04-03

GPT-5 API Pricing in 2026: Every Model from Nano to Pro, Real Costs, and How to Save 50-90%

GPT-5 API Pricing in 2026: Every Model from Nano to Pro, Real Costs, and How to Save 50-90%

OpenAI's GPT-5.4 API costs $2.50 per million input tokens and $15.00 per million output tokens — but that's just the starting line. Cached input drops to $0.25/M (90% off), batch processing halves everything, and GPT-5.4 Nano handles simple tasks at $0.20/$1.25. Meanwhile, crossing 272K input tokens triggers a 2x surcharge that most pricing guides don't mention. This guide covers every OpenAI model's real cost, compares them against Claude, DeepSeek, and Gemini, and shows exactly how to minimize your bill. All pricing verified against [OpenAI's official pricing page](https://openai.com/api/pricing/) and tracked by [TokenMix.ai](https://tokenmix.ai) as of April 2026.

Table of Contents

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Quick Pricing Overview

All prices per 1M tokens, OpenAI direct API, as of April 2026:

| Model | Input | Cached Input | Output | Batch Input | Batch Output | Context | | ---------------- | ------ | ------------ | ------- | ----------- | ------------ | ------- | | **GPT-5.4** | $2.50 | $0.25 | $15.00 | $1.25 | $7.50 | 1.1M* | | **GPT-5.4 Mini** | $0.75 | $0.075 | $4.50 | $0.375 | $2.25 | 400K | | **GPT-5.4 Nano** | $0.20 | $0.02 | $1.25 | $0.10 | $0.625 | 400K | | **GPT-5.4 Pro** | $30.00 | — | $180.00 | $15.00 | $90.00 | 1.1M* | | GPT-5.3 | $1.75 | $0.175 | $14.00 | $0.875 | $7.00 | 1M | | GPT-4o | $2.50 | $1.25 | $10.00 | $1.25 | $5.00 | 128K | | GPT-4o-mini | $0.15 | $0.075 | $0.60 | $0.075 | $0.30 | 128K |

*GPT-5.4 and Pro charge 2x on requests exceeding 272K input tokens.

**The lineup at a glance:** Nano ($0.20/$1.25) for bulk simple tasks. Mini ($0.75/$4.50) for balanced production. Standard ($2.50/$15) for flagship quality. Pro ($30/$180) for maximum reasoning on the hardest problems.

GPT-4o and GPT-4o-mini remain available. But GPT-5.4 Mini matches GPT-4o quality at 70% lower output cost ($4.50 vs $10.00). There's little reason to stay on 4o unless you have tested prompt dependencies.

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The 272K Context Surcharge: GPT-5.4's Hidden 2x Markup

GPT-5.4 supports 1.1 million tokens of context. But once your input exceeds 272K tokens, the price doubles:

| GPT-5.4 | ≤272K Input | >272K Input | | ------------ | ----------- | ------------ | | Input | $2.50/M | **$5.00/M** | | Cached Input | $0.25/M | **$0.50/M** | | Output | $15.00/M | **$15.00/M** |

This is the same pattern as [Claude Sonnet 4.6](https://tokenmix.ai/blog/claude-api-cost)'s 200K threshold — except GPT's kicks in later (272K vs 200K). For document processing workloads, this matters.

**Comparison at 300K input tokens:**

GPT-5.4 and Opus 4.6 tie for long-context requests. Both beat Sonnet. DeepSeek destroys everyone on price.

TokenMix.ai tracks these context-dependent pricing tiers across all providers — check real-time rates at [tokenmix.ai/pricing](https://tokenmix.ai/pricing).

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GPT-5.4 Pro: When $30/$180 Makes Sense

GPT-5.4 Pro is 12x more expensive than standard GPT-5.4. It's designed for problems where standard reasoning falls short.

| Metric | GPT-5.4 | GPT-5.4 Pro | | --------------- | -------- | -------------------------- | | Input/M | $2.50 | $30.00 | | Output/M | $15.00 | $180.00 | | SWE-bench Pro | 49% | 57.7% | | Terminal-Bench | 55% | 75.1% | | Reasoning depth | 5 levels | 5 levels (extended budget) |

**Use Pro only when:** The 8-point SWE-bench improvement is the difference between a working solution and a failed one — complex multi-file refactoring, deep mathematical proofs, or research-grade analysis where you'd otherwise spend hours of engineer time.

**For everything else:** Standard GPT-5.4 at $2.50/$15 is the rational choice. The 12x cost multiplier rarely justifies the quality delta for production workloads.

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Cached Input Tokens: 90% Off Automatically

OpenAI caches repeated input prefixes automatically. No special configuration needed — just keep your prompt structure consistent.

| Model | Standard Input | Cached Input | Savings | | ------------ | -------------- | ------------ | ------- | | GPT-5.4 | $2.50 | $0.25 | 90% | | GPT-5.4 Mini | $0.75 | $0.075 | 90% | | GPT-5.4 Nano | $0.20 | $0.02 | 90% |

**How to maximize cache hits:**

1. Put system instructions and few-shot examples at the beginning of every prompt 2. Keep user-specific content (query, session data) at the end 3. Batch similar request types together — don't interleave different prompt structures 4. In multi-turn conversations, the growing history becomes your cache prefix

**Realistic cache hit rates:** Chatbots see 70-85%. Document Q&A with shared context hits 80-95%. One-off creative tasks: only 5-15%.

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Batch API: 50% Off for Async Workloads

Any workload tolerating up to 24-hour latency gets 50% off both input and output:

| Model | Standard Output | Batch Output | Savings | | ------------ | --------------- | ------------ | ------- | | GPT-5.4 | $15.00/M | $7.50/M | 50% | | GPT-5.4 Mini | $4.50/M | $2.25/M | 50% | | GPT-5.4 Nano | $1.25/M | $0.625/M | 50% |

**Stacking cache + batch on GPT-5.4:**

At $0.13/M cached input + $7.50/M output, GPT-5.4 becomes competitive with DeepSeek V4's standard pricing for input-heavy workloads.

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Full Comparison: GPT-5.4 vs Claude vs DeepSeek vs Gemini

All prices per 1M tokens, official API pricing, April 2026:

| Model | Input | Output | Cache Hit | Context | Batch Output | | ----------------- | ----- | ------ | --------- | ------- | ------------ | | **GPT-5.4** | $2.50 | $15.00 | $0.25 | 1.1M* | $7.50 | | **GPT-5.4 Mini** | $0.75 | $4.50 | $0.075 | 400K | $2.25 | | **GPT-5.4 Nano** | $0.20 | $1.25 | $0.02 | 400K | $0.625 | | Claude Opus 4.6 | $5.00 | $25.00 | $0.50 | 1M | $12.50 | | Claude Sonnet 4.6 | $3.00 | $15.00 | $0.30 | 1M* | $7.50 | | Claude Haiku 4.5 | $1.00 | $5.00 | $0.10 | 200K | $2.50 | | DeepSeek V4 | $0.30 | $0.50 | $0.03 | 1M | N/A | | Gemini 3.1 Pro | $2.00 | $12.00 | $0.50 | 1M | N/A |

**Key insights from [TokenMix.ai](https://tokenmix.ai/pricing) cross-provider tracking:**

1. **GPT-5.4 vs Claude Sonnet 4.6:** GPT is 17% cheaper on input ($2.50 vs $3.00), identical on output ($15). GPT's cache hit ($0.25) is cheaper than Claude's ($0.30). GPT wins on price at every tier.

2. **GPT-5.4 vs Gemini 3.1 Pro:** Gemini is 20% cheaper on input ($2.00 vs $2.50) and output ($12 vs $15). But GPT-5.4 scores higher on SWE-bench (80% vs 78%). Pay 25% more for ~2% better quality — your call.

3. **GPT-5.4 Nano vs DeepSeek V4:** Nano ($0.20/$1.25) vs DeepSeek ($0.30/$0.50). Nano is cheaper on input but 2.5x more expensive on output. For output-heavy tasks, DeepSeek wins. For input-heavy classification, Nano wins.

4. **GPT-5.4 Mini is the new default.** At $0.75/$4.50, it replaces GPT-4o ($2.50/$10) for most production workloads — same quality tier, 55-70% cheaper.

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Real-World Cost Scenarios

Scenario 1: Startup chatbot — 500 conversations/day

| Model | Monthly Cost (Cached) | | ------------ | --------------------- | | GPT-5.4 Nano | $7.98 | | GPT-5.4 Mini | $29.70 | | GPT-5.4 | $90.90 | | DeepSeek V4 | $4.10 |

**GPT-5.4 Nano at $7.98/mo is the budget sweet spot** for simple chatbots that need an OpenAI model specifically.

Scenario 2: SaaS product — 5,000 calls/day

| Model | Standard | Cached | Cached + Batch | | ------------- | -------- | ------ | -------------- | | GPT-5.4 | $4,500 | $1,650 | $881 | | GPT-5.4 Mini | $1,350 | $506 | $278 | | Claude Sonnet | $4,725 | $1,713 | $923 | | DeepSeek V4 | $248 | $122 | N/A |

**GPT-5.4 Mini cached + batch at $278/mo** — that's enterprise-grade AI for less than a software license. Through [TokenMix.ai](https://tokenmix.ai), you can access GPT-5.4 Mini alongside 155+ other models with an additional 5-7% discount.

Scenario 3: Enterprise pipeline — 50,000 calls/day

| Model | Cached + Batch | | ------------- | -------------- | | GPT-5.4 | $34,313 | | GPT-5.4 Mini | $10,547 | | Claude Sonnet | $13,875 |

At enterprise scale, **GPT-5.4 Mini saves $3,328/month vs Claude Sonnet** with comparable quality.

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How to Choose the Right OpenAI Model

| Your Situation | Recommended Model | Why | | -------------------------------- | -------------------------- | --------------------------------------------------- | | Bulk classification, extraction | GPT-5.4 Nano ($0.20/$1.25) | Cheapest OpenAI model, 400K context | | General production workload | GPT-5.4 Mini ($0.75/$4.50) | Best price/quality ratio, replaces GPT-4o | | Flagship quality, complex tasks | GPT-5.4 ($2.50/$15) | Top-tier reasoning, 1.1M context | | Hardest problems, cost secondary | GPT-5.4 Pro ($30/$180) | Maximum reasoning depth, SWE-bench Pro leader | | Multi-provider with failover | GPT-5.4 via TokenMix.ai | Unified API, auto-failover, additional 5-7% savings | | Legacy apps, tested prompts | GPT-4o ($2.50/$10) | Only if migration cost exceeds savings | | Cost is everything | DeepSeek V4 ($0.30/$0.50) | 10-30x cheaper, 90% of GPT quality |

**Biggest mistake:** Still using GPT-4o. GPT-5.4 Mini is better and cheaper in every dimension. Migrate.

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**Related:** [Compare all model pricing in our complete LLM API pricing comparison](https://tokenmix.ai/blog/llm-api-pricing-comparison)

Conclusion

OpenAI's 2026 lineup is the most price-competitive it's ever been. GPT-5.4 at $2.50/$15 undercuts Claude Sonnet on input pricing. GPT-5.4 Mini at $0.75/$4.50 makes GPT-4o obsolete. Nano at $0.20/$1.25 gives budget teams an OpenAI option that rivals DeepSeek on input cost.

The real savings come from the optimization stack: cached input (90% off) + batch processing (50% off) = 95% savings on input tokens. GPT-5.4 input drops from $2.50 to $0.13/M fully optimized.

Watch for the 272K context surcharge on GPT-5.4 and Pro — it doubles input pricing past that threshold. For long-context work, compare against Claude Opus 4.6 (flat $5/M across 1M tokens) before assuming GPT is cheaper.

Real-time GPT pricing compared against 155+ models at [tokenmix.ai/pricing](https://tokenmix.ai/pricing) — updated daily.

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FAQ

How much does GPT-5.4 API cost per token?

GPT-5.4 costs $2.50 per million input tokens and $15.00 per million output tokens at standard rates. With cached input (automatic for repeated prefixes), input drops to $0.25/M — a 90% discount. Batch processing halves all prices. Stacking both gives 95% off input.

What is the cheapest OpenAI model in 2026?

GPT-5.4 Nano at $0.20 per million input tokens and $1.25 per million output tokens. With batch pricing, that drops to $0.10/$0.625. It's designed for classification, extraction, and high-volume simple tasks.

Is GPT-5.4 cheaper than Claude Sonnet 4.6?

Yes on input: $2.50 vs $3.00 per million tokens (17% cheaper). Identical on output: both $15/M. GPT's cached input ($0.25/M) is also cheaper than Claude's ($0.30/M). Overall, GPT-5.4 is the cheaper option at equivalent quality.

Should I upgrade from GPT-4o to GPT-5.4?

In most cases, yes. GPT-5.4 Mini ($0.75/$4.50) matches or exceeds GPT-4o quality at 55-70% lower cost. Unless you have heavily tested prompts with GPT-4o-specific dependencies, migration saves money immediately.

What is GPT-5.4's long-context pricing?

Standard pricing applies up to 272K input tokens. Beyond that, input prices double to $5.00/M (standard) or $0.50/M (cached). Output pricing stays the same. For inputs over 272K, compare against Claude Opus 4.6 which charges a flat $5/M across its full 1M context.

How does GPT-5.4 compare to DeepSeek V4 on cost?

DeepSeek V4 is dramatically cheaper: $0.30/$0.50 vs GPT-5.4's $2.50/$15 — that's 8x on input and 30x on output. With GPT's maximum discounts (cache + batch), input narrows to ~4x. Quality gap is small (SWE-bench: GPT 80% vs DeepSeek 81%). For cost-sensitive workloads, DeepSeek is hard to beat.

Does OpenAI offer a free tier?

No ongoing free tier. New accounts receive a small amount of free credits. For pay-as-you-go access to GPT models without minimums, [TokenMix.ai](https://tokenmix.ai) offers all OpenAI models with no monthly commitment.

Can I use GPT-5.4 through third-party providers?

Yes. [Azure OpenAI](https://tokenmix.ai/blog/azure-openai-cost), TokenMix.ai, and other providers offer GPT-5.4 access. Azure matches OpenAI's pricing but adds 15-40% overhead from support plans and data transfer. TokenMix.ai offers 5-7% below OpenAI list price through volume agreements, with automatic failover across 155+ models.

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*Author: TokenMix Research Lab | Last Updated: April 2026 | Data Source: [OpenAI Official Pricing](https://openai.com/api/pricing/), [TokenMix.ai](https://tokenmix.ai), and [Artificial Analysis](https://artificialanalysis.ai)*