BenchLeader

GPT-5 Pro

Reasoning effort

GPT-5 Pro is an OpenAI proprietary reasoning model, released 7 Aug 2025. Its best configuration ranks #121 of 785 on the BenchLeader Index at 59.8 ±6.2, in the upper half. The ± is the point: 264 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. Knowledge66
  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 202665.3#40
GPT-5.4 Pro4 Mar 202663.3#68
GPT-5.2 Proxhigh11 Dec 2025––
GPT-5 Prothis page7 Aug 202559.8#121

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 50 · Reasoning 60
not statedbest59.8#121––$0.042Knowledge 66 · Multimodal 67 · Reasoning 56

How its index has moved

9 Sept 2026 to 21 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

See all LLM benchmarks. 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

Benchmarkhighnot statedSourceTrend
Humanity's Last Exameffort not stated–31.6%#12Scale AI / CAIS
SimpleBench61.6%#2461.6%#24SimpleBench
Kagi LLM Benchmarkeffort not stated–76.8%#11Kagi LLM Benchmark
ARC-AGI-1effort not stated–70.2%#143ARC Prize
ARC-AGI-2effort not stated–18.3%#146ARC Prize
Chess Puzzlesnot in index48.0%#19–Epoch AI Benchmarking Hub

Coding

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

Agents & tools

Benchmarknot statedSourceTrend
DeepSearchQAnot in index65.2%#2Google

Knowledge

Benchmarknot statedSourceTrend
PRBench Finance51.1%#8Scale AI SEAL
PRBench Legal49.9%#10Scale AI SEAL
MultiNRCpossible contamination65.2%#2Scale AI SEAL

Multimodal

Benchmarknot statedSourceTrend
VISTA52.4%#3Scale AI SEAL

Composite

Benchmarknot statedSourceTrend
Epoch Capabilities Indexnot in index150.6#55Epoch AI Benchmarking Hub

Safety & honesty

Benchmarknot statedSourceTrend
FORTRESSnot in index15.2%#53Scale AI SEAL
MASKnot in indexpossible contamination86.0%#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––
Summarize 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––

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Questions people ask

What are GPT-5 Pro's benchmark scores?
As of 24 Oct 2026, GPT-5 Pro scores 59.8 ±6.2 on the BenchLeader Index, strongest in multimodal (67) and weakest in reasoning (56). That rests on 9 independent benchmark results, and every score on this page links to its publisher.
How does GPT-5 Pro rank?
GPT-5 Pro is #121 of 785 ranked configurations on 24 Oct 2026. 264 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does GPT-5 Pro cost per 1M tokens?
As of 24 Oct 2026, GPT-5 Pro costs $15.00 per 1M input tokens and $120.00 per 1M output tokens, $41.25 blended (three input tokens per output token).
Is GPT-5 Pro better than GPT-5.6 Sol?
As of 24 Oct 2026, GPT-5.6 Sol (max) is the better pick for most workloads: it leads on quality (68.0 vs 59.8 on the BenchLeader Index) and costs 5.2× less. The head-to-head page has the benchmark-by-benchmark detail.
When was GPT-5 Pro released?
OpenAI released GPT-5 Pro on 7 Aug 2025. BenchLeader has results for it at 3 reasoning-effort settings.

Data as of 24 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “GPT-5 Pro: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/gpt-5-pro.