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GPT-5.4 Pricing Deep Dive: EvoLink 20% Discount, Cached Input & >272K Tier Rules
Cost Optimization

GPT-5.4 Pricing Deep Dive: EvoLink 20% Discount, Cached Input & >272K Tier Rules

EvoLink Team
EvoLink Team
Product Team
March 6, 2026
7 min read

GPT-5.4 API Pricing: Per-Token Cost Breakdown for 2026

GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens at base rate. Through EvoLink, you get a 20% discount: $2.00 input / $12.00 output per 1M tokens, with cached input as low as $0.20 per 1M.

If you are planning API budget for GPT-5.4, this guide covers exact per-token pricing, GPT-5.x price history, cached input savings, and practical cost optimization strategies.

Last verified: April 2026 against EvoLink production pricing

GPT-5.4 Pricing at a Glance

TierInput (per 1M)Output (per 1M)Cached Input (per 1M)Context
OpenAI direct$2.50$15.00$0.251.05M / 128K max output
EvoLink (20% off)$2.00$12.00$0.201.05M / 128K max output

No monthly minimum. Pay per token, use one API key across all models.

GPT-5.x Pricing History

ModelReleasePrice (Input / Output, per 1M tokens)ContextNotes
GPT-5.0Aug 2025$1.25 / $10.00400K context / 128K max outputLaunch pricing
GPT-5.1Nov 2025$1.25 / $10.00400KSame price, same core context tier
GPT-5.2Dec 2025$1.75 / $14.00400K40% increase for stronger reasoning
GPT-5.2 ProDec 2025$21.00 / $168.00400KSeparately priced premium tier (Standard)
GPT-5.3 (gpt-5.3-chat-latest / gpt-5.3-codex)Mar 2026$1.75 / $14.00400KListed API pricing (Standard)
GPT-5.4Mar 2026$2.50 / $15.001.05M context / 128K max outputCached input: $0.25 / 1M

Key pattern: OpenAI keeps base flagship tiers relatively stable across close generations (GPT-5.0 to GPT-5.1), but raises price on major reasoning upgrades (GPT-5.2) and prices dedicated premium tiers much higher (GPT-5.2 Pro).

How GPT-5.4 Pricing Compares to GPT-5.2 and GPT-5.1

GPT-5.4 is a price increase over GPT-5.2, justified by 1.05M context (vs 400K), stronger reasoning, and computer-use capabilities.

GPT-5.1GPT-5.2GPT-5.4
Input$1.25$1.75$2.50
Output$10.00$14.00$15.00
Cached Input$0.125$0.175$0.25
Context400K400K1.05M
Max Output128K128K128K

For teams already on GPT-5.2, the upgrade cost is modest on input (+43%) but small on output (+7%), while context jumps 2.6x.

Cached Input Pricing: Where the Real Savings Are

With 1.05M context, repeated system prompts can dominate input cost. Cached input pricing is where GPT-5.4 becomes practical for production:

TierStandard InputCached InputSavings
Base rate$2.50 / 1M$0.25 / 1M90% off
EvoLink discount$2.00 / 1M$0.20 / 1M90% off

If your workload reuses large system contexts across requests, cached pricing can reduce effective input cost by 10x.

Competitive Price vs Capability Snapshot

Reference prices below are public list prices and can vary by tier and token-length bracket.

ModelPrice (Input / Output, per 1M tokens)ContextPositioning
DeepSeek Chat$0.27 / $1.10 (cache-miss input)64KBudget and high-volume tasks
Gemini 2.5 Flash$0.30 / $2.501MFast, low-cost, long-context tasks
GPT-5.1$1.25 / $10.00400KGeneral-purpose prior generation
Gemini 3.1 Pro$2.00-$4.00 / $12.00-$18.001MMultimodal and long-context workloads
GPT-5.2$1.75 / $14.00400KDeep reasoning and coding
GPT-5.4$2.50 / $15.00 (cached input: $0.25)1.05MLatest flagship with computer use
Claude Sonnet 4.6$3.00 / $15.001M (beta)Coding and agentic tasks
Claude Opus 4.6$5.00 / $25.00 (base), $10.00 / $37.50 (>200K premium)1M (beta)Research and complex reasoning

GPT-5.4 output pricing ($15.00) is competitive with Gemini 3.1 Pro and significantly below Claude Opus 4.6. For teams routing through EvoLink, the discounted $12.00 output rate makes GPT-5.4 one of the best value flagship models available.

EvoLink routes GPT-5.4 at a 20% discount from OpenAI base rate pricing:

Base RateEvoLink PriceYou Save
Input$2.50 / 1M$2.00 / 1M$0.50 / 1M
Output$15.00 / 1M$12.00 / 1M$3.00 / 1M
Cached Input$0.25 / 1M$0.20 / 1M$0.05 / 1M

No subscription, no monthly minimum. One API key works across GPT-5.4, GPT-5.2, Claude, Gemini, and 200+ other models.

Cost Optimization Strategies

Cost optimization strategies for GPT-5.4 API usage

1. Use Prompt Caching Aggressively

With 1M+ context, repeated system prompts can dominate input cost. Keep stable context blocks identical across requests to maximize cached-token discounts.

2. Route by Task Complexity

Not every request needs extreme reasoning. Send simple requests to lower-cost models (GPT-5.1, DeepSeek Chat, Gemini Flash), and reserve GPT-5.4 for hard tasks.

3. Watch Token Efficiency

Larger context does not mean every task should consume larger context. Measure whether 1M context improves success rate enough to justify higher input spend.

4. Optimize for Cost per Task, Not Cost per Token

A higher-priced model that solves in one pass can still be cheaper than a low-cost model requiring retries. Track total cost per successful outcome.

FAQ

How much does GPT-5.4 API cost per call?

A typical API call with 2,000 input tokens and 500 output tokens costs about $0.0125 at base rate, or $0.0100 through EvoLink. With cached input, the same call drops to around $0.008.

How much does GPT-5.4 cost compared to GPT-5.2?

GPT-5.4 input is 43% more expensive ($2.50 vs $1.75 per 1M), but output is only 7% higher ($15.00 vs $14.00). You get 2.6x the context window (1.05M vs 400K). Through EvoLink, the gap narrows further: $2.00/$12.00 vs $1.75/$14.00 — meaning EvoLink GPT-5.4 output is actually cheaper than base-rate GPT-5.2 output.

Is GPT-5.4 cheaper than Claude Opus 4.6?

Yes. GPT-5.4 is $2.50/$15.00 vs Claude Opus 4.6 at $5.00/$25.00 (base) or $10.00/$37.50 (>200K premium). Through EvoLink, GPT-5.4 at $2.00/$12.00 is less than half the cost of Opus 4.6.

What is GPT-5.4 cached input pricing?

Cached input tokens cost $0.25 per 1M at base rate, a 90% discount from standard input. Through EvoLink, cached input is $0.20 per 1M. This matters for workloads with large, repeated system prompts.

EvoLink charges per token with no monthly minimum and no subscription. Buy credits, get one API key, and use it across GPT-5.4, GPT-5.2, Claude, Gemini, and 200+ other models. EvoLink is 100% compatible with the OpenAI SDK — just change the base URL.

Is GPT-5.4 worth upgrading from GPT-5.2?

If you need 1M+ context, computer-use capabilities, or stronger reasoning, the upgrade is justified — especially through EvoLink where the output price ($12.00) is actually lower than GPT-5.2 base rate ($14.00). If 400K context is sufficient for your workload, GPT-5.2 remains a strong value option.

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