Language modelPro only

GPT-5.4 Pro

OpenAI

Released: March 5, 2026
Data date: September 8, 2026
Successor: GPT-5.5 Pro

Price: $30 · $180
Input · Output / 1M tokens
Input: Text, Image
Output: Text

GPT-5.4 Pro differs from GPT-5.4 in the extra compute it spends producing an answer. GPT-5.5 Pro later continued this Pro line.

Specifications and access

Specification	Value and source
Weights	ProprietarySource
Access	APISource
Context window	1,050,000 tokensSource
Knowledge cutoff	August 31, 2025Source
Notes	1M context, parameter count not disclosedSource
API model ID	gpt-5.4-proSource
Maximum output	128,000 tokensSource
Input	Text, ImageSource
Output	TextSource
Reasoning mode	medium, high, xhighSource
API interfaces	Responses APISource
Tool calling	YesSource
Structured output	YesSource
Release	2026-03-05Source

Published benchmarks

Humanity's Last Exam

Overall

2,500 difficult, partly multimodal expert questions across more than 100 subjects. The benchmark measures closed-ended expert knowledge and reasoning, not open research or general intelligence.

1.Gemini 3.1 Pro Preview46.44%

2.GPT-5.4 Pro44.32%

3.GPT-5.436.24%

4.Claude Opus 4.736.2%

5.Claude Opus 4.634.44%

6.GPT-5 Pro31.64%

7.GPT-525.32%

higher is betterAs of September 2, 2026Scale: 0% - 100%

Source: Scale AI

CC BY 4.0

gradually.ai

Methodology and context

Comparison cohort: hle-final-scale-public-temperature-0
Metric: accuracy
Scale: 0-100
Participants: 7
Methodology and context: All 2,500 public questions, temperature 0, and an automatic answer extractor.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Model snapshot: gpt-5.4-pro-2026-03-05. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 44.32% ± 1.95. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-09-02-51f8ddc5f531. Source payload hash: 51f8ddc5f531730f2a8577b861c4774e607ed760c25f52108bade0a86a2b5799. Parser version: curated-v1. Imported at: 2026-09-29

Source: Scale AI

MultiChallenge

Overall

Multi-turn conversations test memory, instruction retention, versioned editing, and self-coherence. Tasks were selected from shared failures of six older frontier models and may disadvantage those systems.

1.Gemini 3.1 Pro Preview71.37%

2.GPT-5.4 Pro69.23%

3.GPT-563.19%

4.o3-pro62.4%

5.Claude Opus 4.558.97%

6.o356.62%

7.Claude Opus 4.656.02%

8.Claude Sonnet 4.555.32%

higher is betterAs of August 26, 2026Scale: 0% - 100%

Source: Scale AI

CC BY 4.0

gradually.ai

Methodology and context

Comparison cohort: scale-multichallenge-overall
Metric: rubric pass rate
Scale: 0-100
Participants: 8
Methodology and context: Multi-turn conversations with binary task-specific rubrics.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 69.23% ± 3.05. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-094a8bd3e75b. Source payload hash: 094a8bd3e75b53ac5a174f8cb8b658af01554eea62ef241f0bf2527433f3849a. Parser version: curated-v1. Imported at: 2026-09-29

Source: Scale AI

MultiNRC

Overall

Native reasoning tasks in French, Spanish, and Chinese that were not translated from English templates. Three languages counter English-only evaluation, but they do not represent global language coverage.

1.GPT-5 Pro65.2%

2.Gemini 3.1 Pro Preview64.74%

3.GPT-5.4 Pro62.27%

4.GPT-5.458.29%

5.GPT-552.13%

6.o3-pro49%

7.Gemini 2.5 Pro45.12%

8.DeepSeek-R127.58%

9.GPT-4.121.23%

10.Llama 4 Maverick8.44%

higher is betterAs of August 26, 2026Scale: 0% - 100%

Source: Scale AI

CC BY 4.0

gradually.ai

Methodology and context

Comparison cohort: scale-multinrc-native-languages
Metric: accuracy
Scale: 0-100
Participants: 10
Methodology and context: Native, non-translated reasoning tasks with automatic evaluation.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 62.27% ± 2.92. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-f6d5c3c0afb5. Source payload hash: f6d5c3c0afb57ae872fdc0f7d1a0f6ce1ac051dce7e697faf6e210c8757daa5f. Parser version: curated-v1. Imported at: 2026-09-29

Source: Scale AI

TutorBench

Overall

1,490 tasks test adaptive explanations, feedback, and hints across six STEM subjects. A Claude 4 Sonnet judge scores weighted rubrics, so strong results do not prove safe tutoring of real learners.

1.GPT-5.4 Pro56.62%

2.Gemini 2.5 Pro55.65%

3.GPT-555.33%

4.o3-pro54.62%

5.Gemini 3.1 Pro Preview52.99%

6.Gemini 3.1 Flash-Lite51.5%

7.Llama 4 Maverick40.2%

8.GPT-4o36.12%

higher is betterAs of August 26, 2026Scale: 0% - 100%

Source: Scale AI

CC BY 4.0

gradually.ai

Methodology and context

Comparison cohort: scale-tutorbench-overall
Metric: weighted rubric score
Scale: 0-100
Participants: 8
Methodology and context: 1,490 tasks with weighted rubrics and Claude 4 Sonnet as judge.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 56.62% ± 1.02. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-0a9a42605858. Source payload hash: 0a9a4260585830c804e54bb75c5da6d84a438a201917cb239718d094f674c97b. Parser version: curated-v1. Imported at: 2026-09-29

Source: Scale AI

VISTA

Overall

758 image-text tasks combine OCR, spatial understanding, object recognition, and open-ended visual reasoning. The dataset is private and uses task-specific rubrics, making independent reproduction difficult.

1.Gemini 2.5 Pro54.63%

2.GPT-5.4 Pro53.89%

3.GPT-5 Pro52.39%

4.o3-pro51.63%

5.GPT-5.450.89%

6.GPT-5 mini50.39%

7.GPT-549.69%

8.GPT-4.145.34%

9.GPT-4.1 mini41.14%

10.Llama 4 Maverick38.33%

11.GPT-4.1 nano26.55%

higher is betterAs of August 26, 2026Scale: 0% - 100%

Source: Scale AI

CC BY 4.0

gradually.ai

Methodology and context

Comparison cohort: scale-vista-private-overall
Metric: rubric score
Scale: 0-100
Participants: 11
Methodology and context: 758 single-turn image-text tasks with structured yes-no rubrics.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 53.89% ± 2.02. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-665228705bb0. Source payload hash: 665228705bb014f3400e35f1f04afc38ea636267a546fb05ccd1861bceda080a. Parser version: curated-v1. Imported at: 2026-09-29

Source: Scale AI

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

GDPval (Show measurement, test conditions, and source)

Source value: 82
Score: 82
Metric: percent
Unit: %
Category: Professional
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5.4 Pro; wins or ties; xhigh unless specified
Context: OpenAI notes research-environment results may differ from production.

Source OpenAI

FinanceAgent v1.1 (Show measurement, test conditions, and source)

Source value: 61.5
Score: 61.5
Metric: percent
Unit: %
Category: Professional
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5.4 Pro; professional task evaluation; xhigh unless specified
Context: OpenAI notes research-environment results may differ from production.

Source OpenAI

Investment Banking Modeling Tasks (Show measurement, test conditions, and source)

Source value: 83.6
Score: 83.6
Metric: percent
Unit: %
Category: Professional
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5.4 Pro; internal; xhigh unless specified
Context: OpenAI notes research-environment results may differ from production.

Source OpenAI

BrowseComp (Show measurement, test conditions, and source)

Source value: 89.3
Score: 89.3
Metric: percent
Unit: %
Category: Tool use
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5.4 Pro; tool use; xhigh unless specified
Context: OpenAI notes research-environment results may differ from production.

Source OpenAI

Frontier Science Research (Show measurement, test conditions, and source)

Source value: 36.7
Score: 36.7
Metric: percent
Unit: %
Category: Academic
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5.4 Pro; academic; xhigh unless specified
Context: OpenAI notes research-environment results may differ from production.

Source OpenAI

FrontierMath Tier 1-3 (Show measurement, test conditions, and source)

Source value: 50
Score: 50
Metric: percent
Unit: %
Category: Academic
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5.4 Pro; academic; xhigh unless specified
Context: OpenAI notes research-environment results may differ from production.

Source OpenAI

FrontierMath Tier 4 (Show measurement, test conditions, and source)

Source value: 38
Score: 38
Metric: percent
Unit: %
Category: Academic
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5.4 Pro; academic; xhigh unless specified
Context: OpenAI notes research-environment results may differ from production.

Source OpenAI

Recorded measurement details

Humanity's Last Exam: Overall (Show measurement, test conditions, and source)

Source value: 44.32
Score: 44.32
Metric: accuracy
Unit: %
Benchmark version: final 2,500-question public set
Category: knowledge
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: hle-final-scale-public-temperature-0
Confidence interval: 1.95
Source type: official-leaderboard
Evaluator: Scale AI
Status: active
Retrieved at: 2026-09-02
Methodology: All 2,500 public questions, temperature 0, and an automatic answer extractor.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Model snapshot: gpt-5.4-pro-2026-03-05. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 44.32% ± 1.95. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-09-02-51f8ddc5f531. Source payload hash: 51f8ddc5f531730f2a8577b861c4774e607ed760c25f52108bade0a86a2b5799. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: All 2,500 public questions, temperature 0, and an automatic answer extractor.

Source Scale AI

MultiChallenge: Overall (Show measurement, test conditions, and source)

Source value: 69.23
Score: 69.23
Metric: rubric pass rate
Unit: %
Benchmark version: four multi-turn challenge types
Category: productivity
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: scale-multichallenge-overall
Confidence interval: 3.05
Source type: official-leaderboard
Evaluator: Scale AI
Status: active
Retrieved at: 2026-08-26
Methodology: Multi-turn conversations with binary task-specific rubrics.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 69.23% ± 3.05. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-094a8bd3e75b. Source payload hash: 094a8bd3e75b53ac5a174f8cb8b658af01554eea62ef241f0bf2527433f3849a. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: Multi-turn conversations with binary task-specific rubrics.

Source Scale AI

MultiNRC: Overall (Show measurement, test conditions, and source)

Source value: 62.27
Score: 62.27
Metric: accuracy
Unit: %
Benchmark version: French, Spanish, and Chinese release
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: scale-multinrc-native-languages
Confidence interval: 2.92
Source type: official-leaderboard
Evaluator: Scale AI
Status: active
Retrieved at: 2026-08-26
Methodology: Native, non-translated reasoning tasks with automatic evaluation.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 62.27% ± 2.92. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-f6d5c3c0afb5. Source payload hash: f6d5c3c0afb57ae872fdc0f7d1a0f6ce1ac051dce7e697faf6e210c8757daa5f. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: Native, non-translated reasoning tasks with automatic evaluation.

Source Scale AI

TutorBench: Overall (Show measurement, test conditions, and source)

Source value: 56.62
Score: 56.62
Metric: weighted rubric score
Unit: %
Benchmark version: 1,490-task release
Category: education
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: scale-tutorbench-overall
Confidence interval: 1.02
Source type: official-leaderboard
Evaluator: Scale AI
Status: active
Retrieved at: 2026-08-26
Methodology: 1,490 tasks with weighted rubrics and Claude 4 Sonnet as judge.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 56.62% ± 1.02. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-0a9a42605858. Source payload hash: 0a9a4260585830c804e54bb75c5da6d84a438a201917cb239718d094f674c97b. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: 1,490 tasks with weighted rubrics and Claude 4 Sonnet as judge.

Source Scale AI

VISTA: Overall (Show measurement, test conditions, and source)

Source value: 53.89
Score: 53.89
Metric: rubric score
Unit: %
Benchmark version: 758 private prompt-image pairs
Category: multimodal
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: scale-vista-private-overall
Confidence interval: 2.02
Source type: official-leaderboard
Evaluator: Scale AI
Status: active
Retrieved at: 2026-08-26
Methodology: 758 single-turn image-text tasks with structured yes-no rubrics.. Source model ID: curated/gpt-5.4-pro. Source model name: GPT-5.4 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 53.89% ± 2.02. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-665228705bb0. Source payload hash: 665228705bb014f3400e35f1f04afc38ea636267a546fb05ccd1861bceda080a. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: 758 single-turn image-text tasks with structured yes-no rubrics.

Source Scale AI

Page 1 of 2

Predecessor and successor

Sources and data date

Type	Evidence and data date
Price	Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs. Source: Pricing · API pricing
Input	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Model metadata (retrieved September 8, 2026) · GPT-5.4 Pro API model documentation · Editorial description reviewed October 4, 2026
Output	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Model metadata (retrieved September 8, 2026) · GPT-5.4 Pro API model documentation · Editorial description reviewed October 4, 2026
Research status	Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not found in the inspected sources	parameters-billions Original wording OpenAI API and release pages do not publish parameter counts.
Not found in the inspected sources	independent-benchmarks Original wording The evaluated results in this artifact are the exact OpenAI release table entries.
Not found in the inspected sources	AA benchmark rows Original wording No exact-model row in the selected public JSON-LD datasets (some pages only expose N/A or unknown metric summaries).
Additional source	Scale AI (retrieved September 2, 2026)
Additional source	Scale AI (retrieved August 26, 2026)
Additional source	Scale AI (retrieved August 26, 2026)
Additional source	Scale AI (retrieved August 26, 2026)
Additional source	Scale AI (retrieved August 26, 2026)
Additional source	OpenAI (retrieved September 8, 2026) · Introducing GPT-5.4 · Editorial description reviewed October 4, 2026
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Creative Commons Attribution 4.0
Additional source	Introducing GPT-5.5 (2026-09-19)

GPT-5.4 Pro

Specifications and access

Published benchmarks

Humanity's Last Exam

MultiChallenge

MultiNRC

TutorBench

VISTA

Measurements without matching peer values

Recorded measurement details

Our tests

Pelican on a bicycle

Popularity

Published prices

Predecessor and successor

Sources and data date