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GPT-5.4 API Pricing 2026: Latest Forecast, Scenarios & Cost Comparison
Cost Optimization

GPT-5.4 API Pricing 2026: Latest Forecast, Scenarios & Cost Comparison

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

GPT-5.4 API Pricing: What to Expect in 2026

GPT-5.4 is now listed on OpenRouter with published token pricing. If you are planning API budget now, you can combine this listing with GPT-5.x historical patterns to build a safer rollout plan.

Last updated: March 6, 2026

Update (March 6, 2026)

OpenRouter now lists GPT-5.4 at $2.50 / 1M input, $0.625 / 1M cached input, and $20.00 / 1M output, with a 1M context window and 128K max output.

This is a marketplace listing and may differ from future OpenAI direct billing tiers or enterprise contracts. We still keep scenario analysis below for budget planning across pricing paths.

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 / $20.001M context / 128K max outputCached input: $0.625 / 1M

Key pattern: OpenAI may keep base flagship tiers relatively stable across close generations (for example, GPT-5.0 to GPT-5.1), but can raise price on major reasoning upgrades (GPT-5.2) and price dedicated premium tiers much higher (GPT-5.2 Pro).

GPT-5.4 Pricing Scenarios

Scenario A: Flat Pricing ($1.75 / $14.00), Probability ~60%

  • GPT-5.4 replaces GPT-5.2 as the default flagship.
  • Extreme thinking mode could be exposed as a separately priced premium tier, while base GPT-5.4 stays flat.
  • OpenAI absorbs part of long-context compute cost due to market pressure.

Scenario B: Price Increase ($2.50 / $15.00-$20.00), Probability ~40%

  • 1M+ context, extreme mode, and full-resolution vision increase compute cost.
  • OpenAI positions GPT-5.4 above GPT-5.2 as a premium tier.
  • GPT-5.2 remains as a value option.

The current OpenRouter listing aligns with the upper band of Scenario B.

Cached Input Pricing Matters

GPT-5.2 applies a 90% discount on cached input tokens ($0.175 per 1M cached tokens). If GPT-5.4 keeps similar cached pricing, repeated prompts could become much cheaper in practice, especially with large shared system context.

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 / $20.00 (cached input: $0.625)1MFlagship-tier pricing, rollout eval needed
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

At the current OpenRouter listing, GPT-5.4 output pricing ($20.00) is above Gemini 3.1 Pro in both common token brackets, but still below Claude Sonnet 4.6 output pricing in higher-cost scenarios. For many teams, the decision now is quality/latency gains vs. higher output cost, not just raw token price.

Because GPT-5.4 pricing can differ by platform and contract tier, these are EvoLink planning scenarios, not final posted EvoLink prices.

  • Scenario A (if OpenAI keeps a GPT-5.2-like baseline): around $1.40 / 1M input, around $11.20 / 1M output
  • Scenario B (if OpenAI launches GPT-5.4 as a premium tier): around $2.00 / 1M input, around $12.00-$16.00 / 1M output

These figures are budget estimates only and should not be treated as a public quote. Final EvoLink pricing will be published after EvoLink rollout and pricing-page confirmation.

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 could a typical GPT-5.4 API call cost?

A rough estimate for a 2,000-token input and 500-token output is about $0.01-$0.015 under these projections.

Will extreme thinking mode likely cost extra?

Probably yes. GPT-5.2 already has tiered reasoning behavior, and a deeper mode usually implies higher effective token usage and latency.

Is GPT-5.4 worth upgrading from GPT-5.2?

It depends on your workload. If you need 1M+ context or deeper reasoning, the upgrade may be justified. If 400K context is already enough, GPT-5.2 may remain the better value option.

Usage is token-based with no monthly minimum. You buy credits and use one API key across multiple models.

This page will be updated as OpenRouter, OpenAI direct, and EvoLink pricing details evolve.

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