API cost decision in 10 seconds

GPT-5.5 Pro vs GPT-5.4 Pro

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $120 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickBoth models

Sample savings$00%

10x traffic gap$0

Context-window winner: Both models. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

The two models stay tied across the input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT-5.5 Pro	GPT-5.4 Pro
Input-heavy / RAG	5M input + 500K output	Tie	$240	$240
Balanced workload	1M input + 1M output	Tie	$210	$210
Output-heavy chatbot	1M input + 5M output	Tie	$930	$930

Cheaper input Tie $30 vs $30 / 1M

Both models report the same input price at $30 per 1M tokens.

Cheaper output Tie $180 vs $180 / 1M

Both models report the same output price at $180 per 1M tokens.

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload Tie $120 vs $120

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $120.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5.5 Pro Calculating… Estimated API cost

GPT-5.4 Pro Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

both models tie on input price; both models tie on output price; both models report the same context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $120 for GPT-5.5 Pro and $120 for GPT-5.4 Pro.

Best Fit

Choose GPT-5.5 Pro when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose GPT-5.4 Pro when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

Both models are estimated at $120 for the standard 1M input plus 500K output workload.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $120.
Both models report the same input price at $30 per 1M tokens.
Both models report the same output price at $180 per 1M tokens.
Both models report the same context window at 1.05M tokens.

Head-to-Head Specs

Feature	GPT-5.5 Pro (OpenAI)	GPT-5.4 Pro (OpenAI)
Input Price prompt tokens per 1M	$30	$30
Completion Price per 1M tokens	$180	$180
Sample Workload Cost 1M input + 500K output	$120	$120
Context Window	1.05M	1.05M
Release Date	2026-04-24	2026-03-05

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $120 for the standard 1M input plus 500K output workload.
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-5.5 Pro when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.5 Pro when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5.5 Pro when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5.5 Pro when lower sample workload cost matters most: $0.13.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

Open OpenAI models

GPT-5.5 Pro

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

GPT-5.4 Pro

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token context window (922K input, 128K...