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Model comparison

GPT-5.1-Codex vs GPT-5 (high)

Data verified

Head-to-head evidence from 15 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

52.72/100
Margin
5.9pts
winning →
58.61/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.1-Codex #99 (Estimated); GPT-5 (high) #63 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.1-Codex and GPT-5 (high) share 15 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to GPT-5.1-Codex; 5 to GPT-5 (high).

Updated July 23, 2026
Shared results
15
GPT-5.1-Codex only
1
GPT-5 (high) only
5
Comparable categories
0 / 8

Benchmark data for GPT-5.1-Codex and GPT-5 (high) is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 6 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.

GPT-5.1-Codex has the larger context window at 400K, compared with 128K for GPT-5 (high).

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-5.1-CodexGPT-5 (high)Comparison
Input / output priceUSD per 1M tokensGPT-5.1-CodexNot availableGPT-5 (high)$1.25 input / $10 outputA complete price comparison is not available.
Generation speedtokens per secondGPT-5.1-CodexNot availableGPT-5 (high)83 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.1-CodexNot availableGPT-5 (high)36.28 sA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1-Codex400KGPT-5 (high)128KGPT-5.1-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1-CodexGPT-5 (high)Result
τ²-bench resultsSource 83%84.8%GPT-5 (high) leads
Gert LabsSource 49.68%Not comparable
JobBenchSource 26.2%8.5%GPT-5.1-Codex leads
AA Agentic IndexSource 25.7%Not comparable
GDPval-AASource 28.7%Not comparable
GDPval-AASource 1075Not comparable
Coding
BenchmarkGPT-5.1-CodexGPT-5 (high)Result
Vibe Code BenchSource 13.12%20.09%GPT-5 (high) leads
AA-SciCodeSource 40.2%42.9%GPT-5 (high) leads
AA Coding IndexSource 37.8%Not comparable
Reasoning
BenchmarkGPT-5.1-CodexGPT-5 (high)Result
AA-LCRSource 67.3%75.6%GPT-5 (high) leads
CritPtSource 5.7%5.7%Tie
Knowledge
BenchmarkGPT-5.1-CodexGPT-5 (high)Result
Artificial Analysis Intelligence IndexSource 34.7%34.7%GPT-5.1-Codex leads
AA-GPQA DiamondSource 86.0%85.4%GPT-5.1-Codex leads
AA-HLESource 23.4%26.5%GPT-5 (high) leads
AA-Omniscience IndexSource -6.0%-8.1%GPT-5.1-Codex leads
AA-Omniscience AccuracySource 39.2%40.7%GPT-5 (high) leads
AA-Omniscience Hallucination RateSource 74.4%82.1%GPT-5.1-Codex leads
Math
BenchmarkGPT-5.1-CodexGPT-5 (high)Result
AA MATH-500Source 99.4%Not comparable
Multimodal
BenchmarkGPT-5.1-CodexGPT-5 (high)Result
AA-MMMU-ProSource 72.5%74.2%GPT-5 (high) leads
Design Arena WebsiteSource 11911214GPT-5 (high) leads
Inst. Following
BenchmarkGPT-5.1-CodexGPT-5 (high)Result
AA-IFBenchSource 70.0%73.1%GPT-5 (high) leads
Frequently Asked Questions (3)

Can I compare GPT-5.1-Codex and GPT-5 (high) 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-5.1-Codex and GPT-5 (high) today?

GPT-5 (high): $1.25 input / $10.00 output per 1M tokens 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 23, 2026

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