OpenAI

GPT-5.4 Pro

Tool callingReasoningImage input

More exact GPT-5.4 tier for demanding professional reasoning and agent tasks

Context
1.1M
Released
7mo ago
Input / 1M tokens
$30.00
Output / 1M tokens
$180.00

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer
OpenAI
Model family
GPT
Type
Language model
Predecessor
—
Successor
—
Released
March 5, 2026
Model ID
openai/gpt-5.4-pro
Openness
Closed
License
—
Input modalities
text, image, file
Output modalities
text
Modality
text+image+file->text
Tokenizer
GPT
Max output tokens
128K
Knowledge cutoff
2025-08-31
Hugging Face
—
Source freshness
Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
Source model
openai/gpt-5.4-pro
Source family
gpt-pro
Last updated
2026-03-05
Knowledge cutoff
2025-08-31
Model context
1.1M
Maximum input
922K
Model output limit
128K
Open weights
No
File attachments
Yes
Reasoning
Yes
Tool calling
Yes
Structured output
No
Temperature control
No

Published benchmarks

BenchmarkScoreEvaluation detailsEvidence
GPQA Diamond94.4 · accuracy2026-04-23Source
Humanity's Last Exam42.7 · accuracyno tools · 2026-04-23Source
Humanity's Last Exam58.7 · accuracywith tools · 2026-04-23Source
BrowseComp89.3 · accuracy2026-04-23Source
GDPval82 · wins or ties2026-04-23Source
FrontierMath50 · accuracyTier 1-3 · 2026-04-23Source
FrontierMath38 · accuracyTier 4 · 2026-04-23Source
ARC-AGI-194.5 · accuracyVerified · 2026-04-23Source
ARC-AGI-283.3 · accuracyVerified · 2026-04-23Source
FinanceAgent61.5 · accuracy1.1 · 2026-04-23Source
GeneBench25.6 · accuracy2026-04-23Source
Complete source record (JSON)
{
  "id": "openai/gpt-5.4-pro",
  "name": "GPT-5.4 Pro",
  "description": "More exact GPT-5.4 tier for demanding professional reasoning and agent tasks",
  "family": "gpt-pro",
  "last_updated": "2026-03-05",
  "knowledge": "2025-08-31",
  "attachment": true,
  "reasoning": true,
  "tool_call": true,
  "structured_output": false,
  "temperature": false,
  "modalities": {
    "input": [
      "text",
      "image"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1050000,
    "input": 922000,
    "output": 128000
  },
  "benchmarks": [
    {
      "name": "GPQA Diamond",
      "score": 94.4,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "date": "2026-04-23"
    },
    {
      "name": "Humanity's Last Exam",
      "score": 42.7,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "variant": "no tools",
      "date": "2026-04-23"
    },
    {
      "name": "Humanity's Last Exam",
      "score": 58.7,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "variant": "with tools",
      "date": "2026-04-23"
    },
    {
      "name": "BrowseComp",
      "score": 89.3,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "date": "2026-04-23"
    },
    {
      "name": "GDPval",
      "score": 82,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "wins or ties",
      "date": "2026-04-23"
    },
    {
      "name": "FrontierMath",
      "score": 50,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "dataset": "Tier 1-3",
      "date": "2026-04-23"
    },
    {
      "name": "FrontierMath",
      "score": 38,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "dataset": "Tier 4",
      "date": "2026-04-23"
    },
    {
      "name": "ARC-AGI-1",
      "score": 94.5,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "variant": "Verified",
      "date": "2026-04-23"
    },
    {
      "name": "ARC-AGI-2",
      "score": 83.3,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "variant": "Verified",
      "date": "2026-04-23"
    },
    {
      "name": "FinanceAgent",
      "score": 61.5,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "version": "1.1",
      "date": "2026-04-23"
    },
    {
      "name": "GeneBench",
      "score": 25.6,
      "source": "https://openai.com/index/introducing-gpt-5-5/",
      "metric": "accuracy",
      "date": "2026-04-23"
    }
  ],
  "release_date": "2026-03-05",
  "open_weights": false
}

Infrastructure

Provider availability

All providers
ProviderEndpointContextInput /M tokensOutput /M tokensCached input /M tokensCache write /M tokensUptime 1dData handling
OpenAIopenai/flex1.1M$15.00$90.00———
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai/flexBatch pricing1.1M$15.00$90.00———
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Azureazure1.1M$30.00$180.00——100.00%
ZDR: Yes

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

AzureazureBatch pricing1.1M$30.00$180.00——100.00%
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenai1.1M$30.00$180.00———
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

OpenAIopenaiBatch pricing1.1M$30.00$180.00———
ZDR: No

Training: Unknown

Prompt logging: Unknown

Retention: Unknown

Checked 2026-10-15

Provider data:OpenRouter

Text provenance

EU · product-scoped

OpenAI textGrain watermarking

In the EU, ChatGPT-generated text uses textGrain. OpenAI says API customers can opt in globally for select models, so watermarking depends on the product surface and configuration.

Official explanation