Language modelDeprecated

GPT-5 Pro

OpenAI

Released: October 6, 2025
Data date: September 8, 2026
Predecessor: o3-pro

Price: $15 · $120
Input · Output / 1M tokens
Input: Text, Image
Output: Text

GPT-5 Pro spends more compute producing an answer than GPT-5. In ChatGPT, it took over o3-pro’s role.

Specifications and access

Specification	Value and source
Weights	ProprietarySource
Access	APISource
Context window	400,000 tokensSource
Knowledge cutoff	September 30, 2024Source
Notes	Pro-tier reasoning model, parameter count not disclosedSource
API model ID	gpt-5-proSource
Maximum output	272,000 tokensSource
Input	Text, ImageSource
Output	TextSource
Reasoning mode	highSource
API interfaces	Responses APISource
Tool calling	YesSource
Structured output	YesSource
Release	2025-08-07Source

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-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Model snapshot: gpt-5-pro-2025-10-06. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 31.64% ± 1.82. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-09-02-2fa0a1a962e9. Source payload hash: 2fa0a1a962e9a3c5220390ba98c86b5502caf5700cda9ca4ebac05222503d874. 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-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 65.2% ± 1.24. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-57a178cbb173. Source payload hash: 57a178cbb173288aaa3efcbad6e3216d222f4787159448eaccdff6629d74f8c2. Parser version: curated-v1. Imported at: 2026-09-29

Source: Scale AI

PRBench Finance

Overall

600 realistic finance questions with weighted criteria, including a 300-question hard subset. An o4-mini judge scores the responses, so domain correctness and operational reliability remain separate questions.

1.Claude Fable 553.86%

2.Claude Opus 4.653.28%

3.GPT-551.32%

4.GPT-5 Pro51.06%

5.GPT-5.6 Sol50.45%

6.o3-pro49.08%

7.o347.69%

8.Claude Opus 4.546.16%

9.GPT-5.445.63%

10.Claude Sonnet 4.543.79%

11.Gemini 3.1 Pro Preview41.87%

12.o4-mini39.22%

13.Gemini 2.5 Pro38.92%

14.Gemini 2.5 Flash38.41%

15.GPT-4.134.32%

16.Llama 4 Maverick22.36%

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

Source: Scale AI

CC BY 4.0

gradually.ai

Methodology and context

Comparison cohort: scale-prbench-finance-full
Metric: weighted rubric score
Scale: 0-100
Participants: 16
Methodology and context: 600 finance tasks with task-specific rubrics and o4-mini as judge.. Source model ID: curated/gpt-5-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 51.06% ± 0.59. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-466bd0b3fa6e. Source payload hash: 466bd0b3fa6e323b6844a677a04942e35399edcb3102716a3c2d0c7338565b09. Parser version: curated-v1. Imported at: 2026-09-29

Source: Scale AI

PRBench Legal

Overall

500 realistic legal questions with weighted criteria across jurisdictions and practice areas. The benchmark measures professional response quality but cannot replace legal review or human accountability.

1.Claude Fable 552.56%

2.Claude Opus 4.652.27%

3.GPT-5.6 Sol50.5%

4.GPT-5 Pro49.89%

5.o3-pro49.67%

6.GPT-548.96%

7.o348.57%

8.GPT-5.444.35%

9.Claude Opus 4.544.21%

10.Gemini 3.1 Pro Preview44.02%

11.Gemini 2.5 Pro41.43%

12.Gemini 2.5 Flash41.02%

13.Claude Sonnet 4.540.84%

14.o4-mini38.11%

15.GPT-4.136.48%

16.Llama 4 Maverick24.84%

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

Source: Scale AI

CC BY 4.0

gradually.ai

Methodology and context

Comparison cohort: scale-prbench-legal-full
Metric: weighted rubric score
Scale: 0-100
Participants: 16
Methodology and context: 500 legal tasks with task-specific rubrics and o4-mini as judge.. Source model ID: curated/gpt-5-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 49.89% ± 0.36. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-08c20ad4ef1f. Source payload hash: 08c20ad4ef1fb8e59f1ebfe00288e0e00898bc4db7eca96aa27a92dee3c1664b. 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-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 52.39% ± 1.07. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-f22f53f59f01. Source payload hash: f22f53f59f01af696ad30df581c179307f548cefbd32d346d2fa431d9c25e8dd. 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.

GPQA (Show measurement, test conditions, and source)

Source value: 88.4
Score: 88.4
Metric: percent
Unit: %
Category: Intelligence
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5 pro; without tools
Context: Vendor-reported result; the release page does not expose a full GPT-5 pro benchmark table.

Source OpenAI

External expert preference (Show measurement, test conditions, and source)

Source value: 67.8
Score: 67.8
Metric: percent
Unit: %
Category: Human evaluation
Direction: Higher is better
Source type: vendor-reported
Evaluator: OpenAI
Status: active
Retrieved at: 2026-09-08
Methodology: Vendor-reported result. GPT-5 pro vs GPT-5 thinking; over 1,000 economically valuable real-world reasoning prompts
Context: Vendor-reported preference rate, not a task accuracy score.

Source OpenAI

Recorded measurement details

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

Source value: 31.64
Score: 31.64
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: 1.82
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-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Model snapshot: gpt-5-pro-2025-10-06. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 31.64% ± 1.82. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-09-02-2fa0a1a962e9. Source payload hash: 2fa0a1a962e9a3c5220390ba98c86b5502caf5700cda9ca4ebac05222503d874. 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

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

Source value: 65.2
Score: 65.2
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: 1.24
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-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 65.2% ± 1.24. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-57a178cbb173. Source payload hash: 57a178cbb173288aaa3efcbad6e3216d222f4787159448eaccdff6629d74f8c2. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: Native, non-translated reasoning tasks with automatic evaluation.

Source Scale AI

PRBench Finance: Overall (Show measurement, test conditions, and source)

Source value: 51.06
Score: 51.06
Metric: weighted rubric score
Unit: %
Benchmark version: full finance set
Category: finance
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: scale-prbench-finance-full
Confidence interval: 0.59
Source type: official-leaderboard
Evaluator: Scale AI
Status: active
Retrieved at: 2026-08-26
Methodology: 600 finance tasks with task-specific rubrics and o4-mini as judge.. Source model ID: curated/gpt-5-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 51.06% ± 0.59. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-466bd0b3fa6e. Source payload hash: 466bd0b3fa6e323b6844a677a04942e35399edcb3102716a3c2d0c7338565b09. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: 600 finance tasks with task-specific rubrics and o4-mini as judge.

Source Scale AI

PRBench Legal: Overall (Show measurement, test conditions, and source)

Source value: 49.89
Score: 49.89
Metric: weighted rubric score
Unit: %
Benchmark version: full legal set
Category: legal
Task: overall
Task label: Overall
Direction: Higher is better
Comparison cohort: scale-prbench-legal-full
Confidence interval: 0.36
Source type: official-leaderboard
Evaluator: Scale AI
Status: active
Retrieved at: 2026-08-26
Methodology: 500 legal tasks with task-specific rubrics and o4-mini as judge.. Source model ID: curated/gpt-5-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 49.89% ± 0.36. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-08c20ad4ef1f. Source payload hash: 08c20ad4ef1fb8e59f1ebfe00288e0e00898bc4db7eca96aa27a92dee3c1664b. Parser version: curated-v1. Imported at: 2026-09-29
Comparison methodology: 500 legal tasks with task-specific rubrics and o4-mini as judge.

Source Scale AI

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

Source value: 52.39
Score: 52.39
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: 1.07
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-pro. Source model name: GPT-5 Pro. Provider reported by source: OpenAI. Evaluator: Scale AI. Dataset type: public. Attempts: pass@1. Score display: 52.39% ± 1.07. Source ID: scale-ai. Evidence capture ID: curated-scale-ai-2026-08-26-f22f53f59f01. Source payload hash: f22f53f59f01af696ad30df581c179307f548cefbd32d346d2fa431d9c25e8dd. 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

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 · Context window data (retrieved September 8, 2026) · GPT-5 Pro API model documentation · Editorial description reviewed October 2, 2026
Input	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Context window data (retrieved September 8, 2026) · GPT-5 Pro API model documentation · Editorial description reviewed October 2, 2026
Output	Documented modalities. Retrieved September 8, 2026. Source: Model documentation · Context window data (retrieved September 8, 2026) · GPT-5 Pro API model documentation · Editorial description reviewed October 2, 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 does not publish parameter counts.
Not found in the inspected sources	independent-benchmarks Original wording The exact release-page results are vendor-reported; no independent evaluator row was merged.
Unresolved	AA benchmark rows Original wording No exact Artificial Analysis model page located in the checked public sitemap.
Additional source	Model metadata
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 · Editorial description reviewed October 2, 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

GPT-5 Pro

Specifications and access

Published benchmarks

Humanity's Last Exam

MultiNRC

PRBench Finance

PRBench Legal

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