AI Model Intelligence

GPT-5.4

openai/gpt-5-4

By OpenAI · family: gpt · released 2026-03-05 · knowledge: 2025-08-31

$2.50
Input / 1M tokens
$15.00
Output / 1M tokens
1.05M
Context window
128K
Max output

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capabilities

Tool callingReasoningStructured outputAttachmentsOpen weightsTemperature control
Modalities: input text, image, pdf · output text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding100
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)20/20
  • Provider availability10/10
Agents100
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability10/10
JSON / structured output70
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control0/10
  • Price-friendly for high-volume0/20
Cost efficiency36
  • Headline price (log-scaled)31/95
  • Has prompt-cache pricing5/5
Long context91
  • Context window (100K → 2M)81/90
  • Has published price for full window10/10
Vision100
  • Accepts image input50/50
  • Context window (10K → 1M)30/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$20.00
$0.02 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$40.00
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$12.50
$0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$35.00
$0.04 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$39.00
$0.04 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from openai · gpt-5.4

$2.50
Input
$15.00
Output
$0.250
Cache read
Beyond 200K context
input $5 · output $22.5 · cache_read $0.5

Cheapest provider: github-copilot · Unknown input + Unknown output

Available on 19 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
OpenAI
openai
gpt-5.4$2.50$15.001.05M2026-03-05
GitHub Copilot
github-copilot
gpt-5.4UnknownUnknown400K2026-03-05
Azure Cognitive Services
azure-cognitive-services
gpt-5.4$2.50$15.001.05M2026-03-05
Azure
azure
gpt-5.4$2.50$15.001.05M2026-03-05
OpenRouter
openrouter
openai/gpt-5.4$2.50$15.001.05M2026-03-05
Vercel AI Gateway
vercel
openai/gpt-5.4$2.50$15.001.05M2026-03-05
302.AI
302ai
gpt-5.4$2.50$15.001.05M2026-03-05
Abacus
abacus
gpt-5.4$2.50$15.001.05M2026-03-05
Perplexity Agent
perplexity-agent
openai/gpt-5.4$2.50$15.001.05M2026-03-05
ZenMux
zenmux
openai/gpt-5.4$3.75$18.751.05M2026-03-20
Vivgrid
vivgrid
gpt-5.4$2.50$15.00400K2026-03-05
Kilo Gateway
kilo
openai/gpt-5.4$2.50$15.001.05M2026-03-06
Cloudflare AI Gateway
cloudflare-ai-gateway
openai/gpt-5.4$2.50$15.001.05M2026-03-05
OpenCode Zen
opencode
gpt-5.4$2.50$15.001.05M2026-03-05
Poe
poe
openai/gpt-5.4$2.20$14.001.05M2026-02-26
AIHubMix
aihubmix
gpt-5.4$2.50$15.00400K2026-03-11
Requesty
requesty
openai/gpt-5.4$2.50$15.001.05M2026-03-05
DigitalOcean
digitalocean
openai-gpt-5.4$2.50$15.001M2026-03-05
LLM Gateway
llmgateway
gpt-5.4$2.50$15.001.05M2026-03-05

Data inconsistencies across providers

  • context_window varies: 1000000, 1050000, 400000
  • release_date varies (span 22d): 2026-02-26, 2026-03-05, 2026-03-06, 2026-03-11, 2026-03-20
  • modalities varies across offerings

Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.

Frequently asked questions

How much does GPT-5.4 cost?

GPT-5.4 costs $2.50 per 1M input tokens and $15.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of GPT-5.4?

GPT-5.4 has a context window of 1.05M tokens, with a max output of 128K tokens per reply. This is the total combined size of prompt + completion.

Does GPT-5.4 support tool calling?

Yes. GPT-5.4 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does GPT-5.4 support structured output / JSON mode?

Yes. GPT-5.4 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can GPT-5.4 accept image input?

Yes. GPT-5.4 accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.

Is GPT-5.4 open-weight?

No. GPT-5.4 is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to GPT-5.4?

If GPT-5.4 doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

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Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.