BenchLeader
OpenAIReasoning model

GPT-5 Pro

Reasoning effort

GPT-5 Pro is an OpenAI proprietary reasoning model, released 7 Aug 2025. Its best configuration ranks #108 of 756 on the BenchLeader Index at 60.2 ±6.2, in the upper half. The ± is the point: 235 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in multimodal (67) and lowest in reasoning (56). At $41.25 per million tokens blended it is among the most expensive ranked models. It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 13 Nov 2025.stale: no new result in six months

Blended price
$41.25/M
$15.00 in · $120.00 out
Output speed
–
First answer
–
Context
400k
Full answer
–
Cost per run
–
Released
7 Aug 2025
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index60
  2. Reasoning56
  3. Knowledge67
  4. Multimodal67

Versions

OpenAI has shipped 4 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
GPT-5.5 Proxhigh23 Apr 202665.6#40
GPT-5.4 Pro4 Mar 202663.4#65
GPT-5.2 Proxhigh11 Dec 2025––
GPT-5 Prothis page7 Aug 202560.2#108

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
medium––––$0.042
high––––$0.042Coding 57 · Maths 51 · Reasoning 60
not statedbest60.2#108––$0.042Knowledge 67 · Multimodal 67 · Reasoning 56

How its index has moved

9 Sept 2026 to 4 Oct 2026
526067

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkmediumhighnot statedSourceTrend
Humanity's Last Exam––31.6%#11Scale AI / CAIS
SimpleBench–61.6%#2461.6%#24SimpleBench
Kagi LLM Benchmark––76.8%#11Kagi LLM Benchmark
ARC-AGI-1––70.2%#121ARC Prize
ARC-AGI-2––18.3%#123ARC Prize

Coding

Benchmarkmediumhighnot statedSourceTrend
WeirdML–60.4%#49–WeirdML
AlgoTunenot in index1.3#18––AlgoTune

Agents & tools

Benchmarkmediumhighnot statedSourceTrend
DeepSearchQAnot in index––65.2%#2Google

Maths

Benchmarkmediumhighnot statedSourceTrend
FrontierMath Tiers 1–3–55.8%#40–Epoch AI Benchmarking Hub
FrontierMath Tier 4–19.5%#48–Epoch AI Benchmarking Hub

Knowledge

Benchmarkmediumhighnot statedSourceTrend
PRBench Finance––51.1%#7Scale AI SEAL
PRBench Legal––49.9%#8Scale AI SEAL
MultiNRC––65.2%#2Scale AI SEAL

Multimodal

Benchmarkmediumhighnot statedSourceTrend
VISTA––52.4%#3Scale AI SEAL

Composite

Benchmarkmediumhighnot statedSourceTrend
Epoch Capabilities Indexnot in index––150.3#46Epoch AI Benchmarking Hub

Safety & honesty

Benchmarkmediumhighnot statedSourceTrend
FORTRESSnot in index––15.2%#52Scale AI SEAL
MASKnot in index––86.0%#17Scale AI SEAL

Where it wins

Benchmarks where this configuration ranks in the top five of every configuration measured.

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.042––
Summarise a 30-page report12,000 / 600$0.252––
Code edit6,000 / 1,500$0.270––
Agentic coding session60,000 / 4,000$1.38––
Structured extraction2,000 / 200$0.054––

See also

Data as of 5 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “GPT-5 Pro: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/gpt-5-pro, data as of 5 Oct 2026.