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GPT-5 vs o1

GPT-5 leads o1 on the Artificial Analysis Intelligence Index, 23.0 to 15.2, and GPT-5 costs 6.0x less per output token ($10.00 vs $60.00 per million). Updated October 21, 2026; 69 benchmarks have a result for both.

GPT-5OpenAI
Coding
38.8
Overall
51.5
Output $/M
$10.00
64
o1OpenAI
Coding
No data
Overall
44.6
Output $/M
$60.00
5
vs boards won of 69 shared

GPT-5 or o1: which to pick

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding.

Pick o1 for work measured by AA Coding Index or SciCode, where it leads.

Shared results
69
GPT-5 only
44
o1 only
0
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-5 38.8 from 3 benchmarks, o1 not benchmarked.
Widest category
Agentic work, 21.3 points apart on average over 2 shared benchmarks.
Widest single gap
FrontierMath, tiers 1 to 3: GPT-5 55.4% against o1 14.7%, 40.7 points apart on a 0 to 100 scale.
Output price
GPT-5 $10.00 against o1 $60.00 per million output tokens, 6.0x apart.
Context window
GPT-5 takes 400K tokens, o1 200K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-5Barso1Ties
Coding72
Intelligence20
Agentic work20
Reasoning120
Math80
Knowledge92
General241
All shared boards645
CodingLike-for-likeSix of these boards feed the Vibe Coding Index72
Coding benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
Aider polyglot88.0%61.7%GPT-5
SWE-bench Verified74.4%Not measuredOnly GPT-5 measured
LMArena WebDev1418Not measuredOnly GPT-5 measured
AA Coding Index37.839.7o1
LiveCodeBench (Vals AI)85.9%50.3%GPT-5
SWE-bench Verified (Vals AI)69.0%Not measuredOnly GPT-5 measured
Vibe Code Bench (Vals AI)20.1%Not measuredOnly GPT-5 measured
LiveCodeBench (Artificial Analysis run)84.6%67.9%GPT-5
Terminal-Bench Hard (Artificial Analysis run)37.9%12.9%GPT-5
Terminal-Bench49.6%Not measuredOnly GPT-5 measured
GSO-Bench6.9%Not measuredOnly GPT-5 measured
WeirdML60.7%46.1%GPT-5
ALE-Bench807.6Not measuredOnly GPT-5 measured
LMArena Text: coding14361367GPT-5
LMArena Text: software and IT14201366GPT-5
LMArena WebDev: HTML1427Not measuredOnly GPT-5 measured
SciCode0.0%4.6%o1
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
AA Intelligence Index23.015.2GPT-5
Epoch Capabilities Index150.0141.7GPT-5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
τ²-Bench Telecom86.5%62.6%GPT-5
METR time horizons69.6%51.1%GPT-5
Remote Labor Index1.7%Not measuredOnly GPT-5 measured
GDPval34.8%Not measuredOnly GPT-5 measured
BALROG32.8%Not measuredOnly GPT-5 measured
DeepResearch Bench49.6%Not measuredOnly GPT-5 measured
BrowseComp-Plus80.0%Not measuredOnly GPT-5 measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
GPQA Diamond85.6%73.2%GPT-5
MMMU Pro (Vals AI)81.5%77.4%GPT-5
GPQA Diamond (Artificial Analysis run)85.4%74.7%GPT-5
Humanity's Last Exam (Artificial Analysis run)28.5%7.0%GPT-5
GPQA Diamond (Epoch AI run)86.2%76.8%GPT-5
ARC-AGI65.7%30.7%GPT-5
ARC-AGI-29.9%Not measuredOnly GPT-5 measured
SimpleBench56.7%40.1%GPT-5
Chess puzzles36.0%10.0%GPT-5
Mystery game puzzles23.0%Not measuredOnly GPT-5 measured
EBR-bench12.7%Not measuredOnly GPT-5 measured
VPCT66.0%37.0%GPT-5
LMArena Text: hard prompts14151371GPT-5
LMArena Text: expert14191361GPT-5
LMArena Text: hard prompts in English14191372GPT-5
LMArena Vision: diagrams1252Not measuredOnly GPT-5 measured
LMArena Vision: homework1278Not measuredOnly GPT-5 measured
Kagi LLM Benchmark72.7%Not measuredOnly GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index80
Math benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
AIME93.4%71.5%GPT-5
MATH 500 (Vals AI)96.0%90.4%GPT-5
MGSM (Vals AI)92.8%89.3%GPT-5
AA Math Index94.3Not measuredOnly GPT-5 measured
AIME 2025 (Artificial Analysis run)94.3%Not measuredOnly GPT-5 measured
OTIS Mock AIME91.4%73.3%GPT-5
FrontierMath, tiers 1 to 355.4%14.7%GPT-5
FrontierMath, tier 422.0%Not measuredOnly GPT-5 measured
ProofBench18.0%Not measuredOnly GPT-5 measured
MATH level 598.1%94.7%GPT-5
LMArena Text: math14071388GPT-5
LMArena Text: mathematical work14051390GPT-5
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index92
Knowledge benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
MMLU Pro86.5%83.5%GPT-5
LegalBench (Vals AI)86.0%80.4%GPT-5
CaseLaw (Vals AI)66.5%Not measuredOnly GPT-5 measured
CorpFin (Vals AI)61.1%Not measuredOnly GPT-5 measured
TaxEval (Vals AI)73.4%74.3%o1
MortgageTax (Vals AI)65.5%Not measuredOnly GPT-5 measured
MedQA (Vals AI)96.3%96.5%o1
MedCode (Vals AI)49.6%Not measuredOnly GPT-5 measured
MMLU Pro (Artificial Analysis run)87.1%84.1%GPT-5
SimpleQA Verified50.1%41.1%GPT-5
GeoBench81.0%80.0%GPT-5
LMArena Text: science14161369GPT-5
LMArena Text: medicine and healthcare14131355GPT-5
LMArena Text: legal and government14311368GPT-5
LMArena Text: business and finance14001328GPT-5
FACTS Benchmark Suite56.5%Not measuredOnly GPT-5 measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
Design Arena: websites1184Not measuredOnly GPT-5 measured
Design Arena: UI components1180Not measuredOnly GPT-5 measured
Design Arena: game dev1185Not measuredOnly GPT-5 measured
Design Arena: data viz1221Not measuredOnly GPT-5 measured
Design Arena: 3D1056Not measuredOnly GPT-5 measured
Design Arena: all code categories1168Not measuredOnly GPT-5 measured
Design Arena: SVG1189Not measuredOnly GPT-5 measured
Design Arena: ASCII art1141Not measuredOnly GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index241
General benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
SAGE (Vals AI)43.7%Not measuredOnly GPT-5 measured
MedScribe (Vals AI)83.7%Not measuredOnly GPT-5 measured
IFBench73.1%70.3%GPT-5
Long context reasoning (AA-LCR)78.2%65.0%GPT-5
DTBench90.7%74.7%GPT-5
LMCA40.0%22.3%GPT-5
Fiction.LiveBench97.2%83.3%GPT-5
Creative writing (Lech Mazur)86.0%70.2%GPT-5
LMArena Text14061366GPT-5
LMArena Text: instruction following13881367GPT-5
LMArena Text: creative writing13651347GPT-5
LMArena Vision12321168GPT-5
LMArena Text: English14091372GPT-5
LMArena Text: non-English13971358GPT-5
LMArena Text: Chinese14221394GPT-5
LMArena Text: German14161337GPT-5
LMArena Text: Japanese14091346GPT-5
LMArena Text: Korean13601396o1
LMArena Text: French14091344GPT-5
LMArena Text: Spanish13991345GPT-5
LMArena Text: Russian14071356GPT-5
LMArena Text: Polish1431Not measuredOnly GPT-5 measured
LMArena Text: multi-turn14261355GPT-5
LMArena Text: longer queries13991378GPT-5
LMArena Text: writing and language13841360GPT-5
LMArena Text: entertainment and media13791358GPT-5
LMArena Vision: English12311162GPT-5
LMArena Vision: Chinese12671235GPT-5
LMArena Vision: reading text1246Not measuredOnly GPT-5 measured
LMArena Vision: humor1219Not measuredOnly GPT-5 measured
LMArena Vision: captioning1212Not measuredOnly GPT-5 measured
LMArena Vision: recognizing things1263Not measuredOnly GPT-5 measured
LMArena Vision: creative writing1210Not measuredOnly GPT-5 measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5 and o1
BenchmarkGPT-5o1Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-5$0.0063Fits in one request
o1$0.045Fits in one request

GPT-5 costs less

Repository review

50K input + 3K output tokens

GPT-5$0.092Fits in one request
o1$0.930Fits in one request

GPT-5 costs less

Agent loop

200K input + 10K output tokens

GPT-5$0.350Fits in one request
o1$3.60Exceeds the context window

GPT-5 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-5 and o1
SpecificationOpenAI GPT-5OpenAI o1
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 7, 2025December 17, 2024
Context window400K200K
Input $/Mtok$1.25$15.00
Output $/Mtok$10.00$60.00
Coding index38.8Not benchmarked
Independent measurements behind it30
Cost per solved task$0.39Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5 better than o1 for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; o1 has none, so the two cannot be ranked on coding. Pick o1 for work measured by AA Coding Index or SciCode, where it leads.

Which is cheaper, GPT-5 or o1?

GPT-5 costs $1.25 per million input tokens and $10.00 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for GPT-5 only.

Which has the bigger context window, GPT-5 or o1?

GPT-5, with 400K tokens against 200K.

How many benchmarks is the GPT-5 vs o1 comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. GPT-5's coding index rests on 3 independent benchmarks and o1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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