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Model comparison

GPT-5 (high) vs GPT-5 (medium)

Data verified

Head-to-head evidence from 14 shared benchmark results across 7 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Sibling matchup inside the GPT-5 family.

58.61/100
Margin
3.5pts
← winning
55.15/100
0 category wins0 category wins

Public leaderboard positions: GPT-5 (high) #63 (Estimated); GPT-5 (medium) #84 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5 (high) and GPT-5 (medium) share 14 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to GPT-5 (high); 0 to GPT-5 (medium).

Updated July 20, 2026
Shared results
14
GPT-5 (high) only
6
GPT-5 (medium) only
0
Comparable categories
0 / 8

Benchmark data for GPT-5 (high) and GPT-5 (medium) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 7 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5 (high)GPT-5 (medium)Comparison
Input / output priceUSD per 1M tokensGPT-5 (high)$1.25 input / $10 outputGPT-5 (medium)Not availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5 (high)83 tok/sGPT-5 (medium)83 tok/sMeasured throughput is equal.
First-answer latencyseconds to first tokenGPT-5 (high)36.28 sGPT-5 (medium)36.28 sMeasured first-token latency is equal.
Context windowmaximum listed tokensGPT-5 (high)128KGPT-5 (medium)128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5 (high)GPT-5 (medium)Result
AA Agentic IndexSource 25.7%Not comparable
τ²-bench resultsSource 84.8%86.5%GPT-5 (medium) leads
GDPval-AASource 28.7%Not comparable
GDPval-AASource 1075Not comparable
JobBenchSource 8.5%Not comparable
Coding
BenchmarkGPT-5 (high)GPT-5 (medium)Result
Vibe Code BenchSource 20.09%Not comparable
AA Coding IndexSource 37.8%Not comparable
AA-SciCodeSource 42.9%41.1%GPT-5 (high) leads
Reasoning
BenchmarkGPT-5 (high)GPT-5 (medium)Result
AA-LCRSource 75.6%72.8%GPT-5 (high) leads
CritPtSource 5.7%0.0%GPT-5 (high) leads
Knowledge
BenchmarkGPT-5 (high)GPT-5 (medium)Result
Artificial Analysis Intelligence IndexSource 34.7%33.7%GPT-5 (high) leads
AA-GPQA DiamondSource 85.4%84.2%GPT-5 (high) leads
AA-HLESource 26.5%23.5%GPT-5 (high) leads
AA-Omniscience IndexSource -8.1%-10.1%GPT-5 (high) leads
AA-Omniscience AccuracySource 40.7%38.9%GPT-5 (high) leads
AA-Omniscience Hallucination RateSource 82.1%80.1%GPT-5 (medium) leads
Math
BenchmarkGPT-5 (high)GPT-5 (medium)Result
AA MATH-500Source 99.4%99.1%GPT-5 (high) leads
Multimodal
BenchmarkGPT-5 (high)GPT-5 (medium)Result
AA-MMMU-ProSource 74.2%74.3%GPT-5 (medium) leads
Design Arena WebsiteSource 12171217Tie
Inst. Following
BenchmarkGPT-5 (high)GPT-5 (medium)Result
AA-IFBenchSource 73.1%70.6%GPT-5 (high) leads
Frequently Asked Questions (3)

Can I compare GPT-5 (high) and GPT-5 (medium) on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for GPT-5 (high) and GPT-5 (medium) today?

GPT-5 (high): $1.25 input / $10.00 output per 1M tokens GPT-5 (medium): Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 20, 2026

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