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GPT-5.3-Codex vs Step 5 Preview

Step 5 Preview leads GPT-5.3-Codex on coding, 61.1 to 60.0 on the Vibe Coding Index, and Step 5 Preview costs 5.2x less per output token ($2.70 vs $14.00 per million). Updated October 22, 2026; 9 benchmarks have a result for both.

GPT-5.3-CodexOpenAI
Coding
60.0
Overall
No data
Output $/M
$14.00
1
Step 5 PreviewStepFun
Coding
61.1
Overall
60.5
Output $/M
$2.70
8
vs boards won of 9 shared

GPT-5.3-Codex or Step 5 Preview: which to pick

GPT-5.3-Codex and Step 5 Preview are level for coding, 60.0 against 61.1 on the Vibe Coding Index, so price and context decide.

Pick GPT-5.3-Codex for work measured by IOI (Vals AI), where it leads. Pick Step 5 Preview for output tokens 5.2x cheaper ($2.70 vs $14.00 per million) and a larger context window (1.05M against 400K tokens).

Shared results
9
GPT-5.3-Codex only
25
Step 5 Preview only
52
Like-for-like categories
4 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-5.3-Codex 60.0 from 3 benchmarks, Step 5 Preview 61.1 from 4 benchmarks.
Widest category
Coding, 19.8 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: React: GPT-5.3-Codex 1395 against Step 5 Preview 1583, 31.3 points apart on a 0 to 100 scale.
Output price
GPT-5.3-Codex $14.00 against Step 5 Preview $2.70 per million output tokens, 5.2x apart.
Context window
GPT-5.3-Codex takes 400K tokens, Step 5 Preview 1.05M.

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-5.3-CodexBarsStep 5 PreviewTies
Coding15
Intelligence01
Reasoning01
General01
All shared boards18
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
LiveBench codingNot measured85.6%Only Step 5 Preview measured
LMArena WebDev14071567Step 5 Preview
LiveCodeBench (Vals AI)87.3%Not measuredOnly GPT-5.3-Codex measured
SWE-bench Verified (Vals AI)78.0%Not measuredOnly GPT-5.3-Codex measured
Terminal-Bench 4 (Vals AI)Not measured31.8%Only Step 5 Preview measured
Vibe Code Bench (Vals AI)61.8%70.4%Step 5 Preview
Code migration (Vals AI)Not measured39.0%Only Step 5 Preview measured
IOI (Vals AI)53.8%38.1%GPT-5.3-Codex
SWE-bench Multimodal (Vals AI)Not measured40.8%Only Step 5 Preview measured
SciCodeNot measured58.9%Only Step 5 Preview measured
Terminal-Bench Hard (Artificial Analysis run)53.0%Not measuredOnly GPT-5.3-Codex measured
Terminal-Bench78.4%Not measuredOnly GPT-5.3-Codex measured
WeirdML79.3%Not measuredOnly GPT-5.3-Codex measured
ALE-Bench1655.2Not measuredOnly GPT-5.3-Codex measured
LMArena Text: codingNot measured1485Only Step 5 Preview measured
LMArena Text: software and ITNot measured1473Only Step 5 Preview measured
LMArena WebDev: React13951583Step 5 Preview
LMArena WebDev: HTML14221556Step 5 Preview
LMArena WebDev: from an image14431550Step 5 Preview
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
AA Intelligence Index32.543.7Step 5 Preview
Epoch Capabilities Index157.1Not measuredOnly GPT-5.3-Codex measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
Design Arena: agents building web apps1032Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building full-stack apps983Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building mobile apps1053Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building Android apps1084Not measuredOnly GPT-5.3-Codex measured
Design Arena: agents building Godot games1124Not measuredOnly GPT-5.3-Codex measured
LiveBench researchNot measured72.8%Only Step 5 Preview measured
LiveBench browserNot measured24.0%Only Step 5 Preview measured
LiveBench long agenticNot measured27.5%Only Step 5 Preview measured
SREBench (Vals AI)Not measured0.4%Only Step 5 Preview measured
Finance Agent (Vals AI)Not measured50.7%Only Step 5 Preview measured
Tax Agent Bench (Vals AI)Not measured27.3%Only Step 5 Preview measured
Legal Research Bench (Vals AI)Not measured40.4%Only Step 5 Preview measured
Excel Modeling Benchmark (Vals AI)Not measured57.1%Only Step 5 Preview measured
BioMysteryBench (Vals AI)Not measured67.4%Only Step 5 Preview measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only Step 5 Preview measured
Vals Science IndexNot measured29.6%Only Step 5 Preview measured
τ²-Bench Telecom86.0%Not measuredOnly GPT-5.3-Codex measured
METR time horizons74.5%Not measuredOnly GPT-5.3-Codex measured
Vending-Bench 2$5,940Not measuredOnly GPT-5.3-Codex measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
LiveBench reasoningNot measured83.8%Only Step 5 Preview measured
MysteryMechanism (Vals AI)Not measured18.5%Only Step 5 Preview measured
GPQA Diamond (Artificial Analysis run)91.5%Not measuredOnly GPT-5.3-Codex measured
Humanity's Last Exam (Artificial Analysis run)42.5%46.5%Step 5 Preview
LMArena Text: hard promptsNot measured1461Only Step 5 Preview measured
LMArena Text: expertNot measured1485Only Step 5 Preview measured
LMArena Text: hard prompts in EnglishNot measured1454Only Step 5 Preview measured
LMArena Vision: diagramsNot measured1308Only Step 5 Preview measured
LMArena Vision: homeworkNot measured1265Only Step 5 Preview measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
ProofBenchNot measured42.0%Only Step 5 Preview measured
LMArena Text: mathNot measured1458Only Step 5 Preview measured
LMArena Text: mathematical workNot measured1460Only Step 5 Preview measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
LMArena Text: scienceNot measured1454Only Step 5 Preview measured
LMArena Text: medicine and healthcareNot measured1439Only Step 5 Preview measured
LMArena Text: legal and governmentNot measured1437Only Step 5 Preview measured
LMArena Text: business and financeNot measured1435Only Step 5 Preview measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
Design Arena: websites1162Not measuredOnly GPT-5.3-Codex measured
Design Arena: UI components1134Not measuredOnly GPT-5.3-Codex measured
Design Arena: game dev1161Not measuredOnly GPT-5.3-Codex measured
Design Arena: data viz1164Not measuredOnly GPT-5.3-Codex measured
Design Arena: 3D1007Not measuredOnly GPT-5.3-Codex measured
Design Arena: all code categories1144Not measuredOnly GPT-5.3-Codex measured
Design Arena: SVG1129Not measuredOnly GPT-5.3-Codex measured
Design Arena: ASCII art1152Not measuredOnly GPT-5.3-Codex measured
LiveBench designNot measured76.9%Only Step 5 Preview measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
LiveBench data analysisNot measured63.5%Only Step 5 Preview measured
Public Benefits Bench (Vals AI)Not measured58.1%Only Step 5 Preview measured
IFBench75.4%Not measuredOnly GPT-5.3-Codex measured
Long context reasoning (AA-LCR)83.3%88.3%Step 5 Preview
LMArena TextNot measured1440Only Step 5 Preview measured
LMArena Text: instruction followingNot measured1438Only Step 5 Preview measured
LMArena Text: creative writingNot measured1409Only Step 5 Preview measured
LMArena VisionNot measured1265Only Step 5 Preview measured
LMArena Text: EnglishNot measured1447Only Step 5 Preview measured
LMArena Text: non-EnglishNot measured1428Only Step 5 Preview measured
LMArena Text: ChineseNot measured1500Only Step 5 Preview measured
LMArena Text: JapaneseNot measured1383Only Step 5 Preview measured
LMArena Text: FrenchNot measured1438Only Step 5 Preview measured
LMArena Text: SpanishNot measured1441Only Step 5 Preview measured
LMArena Text: RussianNot measured1433Only Step 5 Preview measured
LMArena Text: multi-turnNot measured1437Only Step 5 Preview measured
LMArena Text: longer queriesNot measured1449Only Step 5 Preview measured
LMArena Text: writing and languageNot measured1425Only Step 5 Preview measured
LMArena Text: entertainment and mediaNot measured1412Only Step 5 Preview measured
LMArena Vision: EnglishNot measured1290Only Step 5 Preview measured
LMArena Vision: reading textNot measured1282Only Step 5 Preview measured
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.3-Codex and Step 5 Preview
BenchmarkGPT-5.3-CodexStep 5 PreviewLeader
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-5.3-Codex$0.0088Fits in one request
Step 5 Preview$0.0024Fits in one request

Step 5 Preview costs less

Repository review

50K input + 3K output tokens

GPT-5.3-Codex$0.130Fits in one request
Step 5 Preview$0.058Fits in one request

Step 5 Preview costs less

Agent loop

200K input + 10K output tokens

GPT-5.3-Codex$0.490Fits in one request
Step 5 Preview$0.227Fits in one request

Step 5 Preview 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-5.3-Codex and Step 5 Preview
SpecificationOpenAI GPT-5.3-CodexStepFun Step 5 Preview
MakerOpenAIStepFun
WeightsNo public weights listedOpen weights
ReleasedFebruary 24, 2026October 8, 2026
Context window400K1.05M
Input $/Mtok$1.75$1.00
Output $/Mtok$14.00$2.70
Coding index60.061.1
Independent measurements behind it34
Cost per solved task$0.59Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.3-Codex better than Step 5 Preview for coding?

GPT-5.3-Codex and Step 5 Preview are level for coding, 60.0 against 61.1 on the Vibe Coding Index, so price and context decide. Pick GPT-5.3-Codex for work measured by IOI (Vals AI), where it leads. Pick Step 5 Preview for output tokens 5.2x cheaper ($2.70 vs $14.00 per million) and a larger context window (1.05M against 400K tokens).

Which is cheaper, GPT-5.3-Codex or Step 5 Preview?

GPT-5.3-Codex costs $1.75 per million input tokens and $14.00 per million output tokens; Step 5 Preview costs $1.00 and $2.70. Cost per solved task is known for GPT-5.3-Codex only.

Which has the bigger context window, GPT-5.3-Codex or Step 5 Preview?

Step 5 Preview, with 1.05M tokens against 400K.

How many benchmarks is the GPT-5.3-Codex vs Step 5 Preview comparison based on?

9 benchmarks have a result for both models as of October 22, 2026. GPT-5.3-Codex's coding index rests on 3 independent benchmarks and Step 5 Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gpt-5-3-codex-vs-stepfun-step-5-preview" title="GPT-5.3-Codex vs Step 5 Preview, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gpt-5-3-codex-vs-stepfun-step-5-preview">LLMBenchmark.ai, GPT-5.3-Codex vs Step 5 Preview</a></p>