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Gemini 3.1 Pro Preview vs GPT-5.1-Codex

Updated October 21, 2026. 21 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.1 Pro PreviewGoogle
Coding
35.3
Overall
29.7
Output $/M
$12.00
16
GPT-5.1-CodexOpenAI
Coding
50.5
Overall
23.7
Output $/M
$10.00
5
vs boards won of 21 shared

Decision reading

Pick GPT-5.1-Codex for coding: it scores 50.5 on the Vibe Coding Index against 35.3 for Gemini 3.1 Pro Preview.

Pick Gemini 3.1 Pro Preview when the context window is larger, 1.05M against 400K tokens, or when what matters is LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Shared results
21
Gemini 3.1 Pro Preview only
110
GPT-5.1-Codex only
5
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Gemini 3.1 Pro Preview 35.3 from 1 benchmark, GPT-5.1-Codex 50.5 from 2 benchmarks.
Widest category
Coding, 15.1 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Gemini 3.1 Pro Preview 1490 against GPT-5.1-Codex 1346, 23.9 points apart on a 0 to 100 scale.
Output price
Gemini 3.1 Pro Preview $12.00 against GPT-5.1-Codex $10.00 per million output tokens, 1.2x apart.
Context window
Gemini 3.1 Pro Preview takes 1.05M tokens, GPT-5.1-Codex 400K.

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
CategoryGemini 3.1 Pro PreviewBarsGPT-5.1-CodexTies
Coding61
Intelligence10
Agentic work22
Reasoning20
Web design32
General20
All shared boards165
CodingLike-for-likeFour of these boards feed the Vibe Coding Index61
Coding benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
SWE-bench VerifiedNot measured66.0%Only GPT-5.1-Codex measured
LMArena WebDev14471337Gemini 3.1 Pro Preview
AA Coding Index68.8Not measuredOnly Gemini 3.1 Pro Preview measured
LiveCodeBench (Vals AI)88.5%85.5%Gemini 3.1 Pro Preview
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.1 Pro Preview measured
Terminal-Bench 4 (Vals AI)2.5%Not measuredOnly Gemini 3.1 Pro Preview measured
Vibe Code Bench (Vals AI)32.0%13.1%Gemini 3.1 Pro Preview
Code migration (Vals AI)17.3%Not measuredOnly Gemini 3.1 Pro Preview measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.1 Pro Preview measured
IOI (Vals AI)51.8%Not measuredOnly Gemini 3.1 Pro Preview measured
Terminal-Bench 2.1 (Vals AI)70.8%Not measuredOnly Gemini 3.1 Pro Preview measured
Vibe Code Bench 1-100 (Vals AI)6.7%Not measuredOnly Gemini 3.1 Pro Preview measured
LiveCodeBench (Artificial Analysis run)Not measured84.9%Only GPT-5.1-Codex measured
SciCode58.7%Not measuredOnly Gemini 3.1 Pro Preview measured
Terminal-Bench Hard (Artificial Analysis run)53.8%34.8%Gemini 3.1 Pro Preview
Terminal-Bench80.2%57.8%Gemini 3.1 Pro Preview
GSO-Bench22.6%Not measuredOnly Gemini 3.1 Pro Preview measured
WeirdML72.1%Not measuredOnly Gemini 3.1 Pro Preview measured
MirrorCode8.9%Not measuredOnly Gemini 3.1 Pro Preview measured
ALE-Bench1160.61244.9GPT-5.1-Codex
LMArena Text: coding1484Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: software and IT1487Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena WebDev: React1438Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena WebDev: HTML14901346Gemini 3.1 Pro Preview
LMArena WebDev: from an image1481Not measuredOnly Gemini 3.1 Pro Preview measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
AA Intelligence Index29.723.7Gemini 3.1 Pro Preview
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index22
Agentic work benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
AA Agentic Index8.2Not measuredOnly Gemini 3.1 Pro Preview measured
Design Arena: agents building web apps11251018Gemini 3.1 Pro Preview
Design Arena: agents building full-stack apps10681086GPT-5.1-Codex
Design Arena: agents building mobile apps10941191GPT-5.1-Codex
Design Arena: agents building Android apps1055Not measuredOnly Gemini 3.1 Pro Preview measured
Design Arena: agents building Godot games1236Not measuredOnly Gemini 3.1 Pro Preview measured
Design Arena: agents building games1114Not measuredOnly Gemini 3.1 Pro Preview measured
Design Arena: HTML slides1153Not measuredOnly Gemini 3.1 Pro Preview measured
Design Arena: PowerPoint slides1064Not measuredOnly Gemini 3.1 Pro Preview measured
SREBench (Vals AI)0.0%Not measuredOnly Gemini 3.1 Pro Preview measured
Finance Agent (Vals AI)43.0%Not measuredOnly Gemini 3.1 Pro Preview measured
Tax Agent Bench (Vals AI)9.3%Not measuredOnly Gemini 3.1 Pro Preview measured
Legal Research Bench (Vals AI)20.7%Not measuredOnly Gemini 3.1 Pro Preview measured
Excel Modeling Benchmark (Vals AI)52.6%Not measuredOnly Gemini 3.1 Pro Preview measured
BioMysteryBench (Vals AI)60.0%Not measuredOnly Gemini 3.1 Pro Preview measured
Terminal-Bench-Science (Vals AI)1.4%Not measuredOnly Gemini 3.1 Pro Preview measured
Vals Science Index27.4%Not measuredOnly Gemini 3.1 Pro Preview measured
τ²-Bench Telecom95.6%83.0%Gemini 3.1 Pro Preview
APEX-Agents35.1%Not measuredOnly Gemini 3.1 Pro Preview measured
METR time horizons77.0%Not measuredOnly Gemini 3.1 Pro Preview measured
BALROG57.0%Not measuredOnly Gemini 3.1 Pro Preview measured
DeepResearch Bench47.8%Not measuredOnly Gemini 3.1 Pro Preview measured
PostTrainBench22.0%Not measuredOnly Gemini 3.1 Pro Preview measured
Vending-Bench 2$911Not measuredOnly Gemini 3.1 Pro Preview measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
GPQA Diamond95.5%Not measuredOnly Gemini 3.1 Pro Preview measured
MysteryMechanism (Vals AI)20.7%Not measuredOnly Gemini 3.1 Pro Preview measured
MMMU Pro (Vals AI)88.2%Not measuredOnly Gemini 3.1 Pro Preview measured
GPQA Diamond (Artificial Analysis run)94.1%86.0%Gemini 3.1 Pro Preview
Humanity's Last Exam (Artificial Analysis run)47.0%25.7%Gemini 3.1 Pro Preview
GPQA Diamond (Epoch AI run)94.4%Not measuredOnly Gemini 3.1 Pro Preview measured
ARC-AGI98.0%Not measuredOnly Gemini 3.1 Pro Preview measured
ARC-AGI-277.1%Not measuredOnly Gemini 3.1 Pro Preview measured
SimpleBench79.6%Not measuredOnly Gemini 3.1 Pro Preview measured
Chess puzzles51.0%Not measuredOnly Gemini 3.1 Pro Preview measured
Mystery game puzzles34.0%Not measuredOnly Gemini 3.1 Pro Preview measured
EBR-bench14.3%Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: hard prompts1485Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: expert1483Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: hard prompts in English1480Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: diagrams1311Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: homework1316Not measuredOnly Gemini 3.1 Pro Preview measured
Neither model has a result on the other 4 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Math benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
AIME98.1%Not measuredOnly Gemini 3.1 Pro Preview measured
AA Math IndexNot measured95.7Only GPT-5.1-Codex measured
AIME 2025 (Artificial Analysis run)Not measured95.7%Only GPT-5.1-Codex measured
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.1 Pro Preview measured
FrontierMath, tiers 1 to 359.6%Not measuredOnly Gemini 3.1 Pro Preview measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.1 Pro Preview measured
ProofBench26.0%Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: math1486Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: mathematical work1478Not measuredOnly Gemini 3.1 Pro Preview measured
Neither model has a result on the other 4 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Knowledge benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
MMLU Pro91.0%Not measuredOnly Gemini 3.1 Pro Preview measured
LegalBench (Vals AI)87.4%Not measuredOnly Gemini 3.1 Pro Preview measured
CaseLaw (Vals AI)64.8%Not measuredOnly Gemini 3.1 Pro Preview measured
CorpFin (Vals AI)64.5%Not measuredOnly Gemini 3.1 Pro Preview measured
TaxEval (Vals AI)72.9%Not measuredOnly Gemini 3.1 Pro Preview measured
MortgageTax (Vals AI)69.4%Not measuredOnly Gemini 3.1 Pro Preview measured
MedQA (Vals AI)96.4%Not measuredOnly Gemini 3.1 Pro Preview measured
MedCode (Vals AI)59.1%Not measuredOnly Gemini 3.1 Pro Preview measured
MMLU Pro (Artificial Analysis run)Not measured86.0%Only GPT-5.1-Codex measured
SimpleQA Verified73.5%Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: science1497Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: medicine and healthcare1486Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: legal and government1487Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: business and finance1459Not measuredOnly Gemini 3.1 Pro Preview measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index32
Web design benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
Design Arena: websites12341162Gemini 3.1 Pro Preview
Design Arena: UI components12261237GPT-5.1-Codex
Design Arena: game dev12031138Gemini 3.1 Pro Preview
Design Arena: data viz12091213GPT-5.1-Codex
Design Arena: 3D1234Not measuredOnly Gemini 3.1 Pro Preview measured
Design Arena: all code categories12311153Gemini 3.1 Pro Preview
Design Arena: SVG1285Not measuredOnly Gemini 3.1 Pro Preview measured
Design Arena: ASCII art1270Not measuredOnly Gemini 3.1 Pro Preview measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
Public Benefits Bench (Vals AI)53.8%Not measuredOnly Gemini 3.1 Pro Preview measured
SAGE (Vals AI)48.7%Not measuredOnly Gemini 3.1 Pro Preview measured
MedScribe (Vals AI)76.1%Not measuredOnly Gemini 3.1 Pro Preview measured
Vals Multimodal Index56.1%Not measuredOnly Gemini 3.1 Pro Preview measured
IFBench77.1%70.0%Gemini 3.1 Pro Preview
Long context reasoning (AA-LCR)82.0%69.3%Gemini 3.1 Pro Preview
DTBench97.1%Not measuredOnly Gemini 3.1 Pro Preview measured
LMCA53.8%Not measuredOnly Gemini 3.1 Pro Preview measured
CL-bench20.8%Not measuredOnly Gemini 3.1 Pro Preview measured
Furniture assembly26.7%Not measuredOnly Gemini 3.1 Pro Preview measured
ExploitBench26.1%Not measuredOnly Gemini 3.1 Pro Preview measured
CL-bench Life16.9%Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text1480Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: instruction following1466Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: creative writing1482Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision1296Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: English1478Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: non-English1476Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: Chinese1527Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: German1490Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: Japanese1491Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: Korean1455Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: French1487Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: Spanish1481Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: Russian1497Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: Polish1498Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: multi-turn1487Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: longer queries1482Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: writing and language1481Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Text: entertainment and media1465Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: English1287Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: Chinese1364Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: reading text1304Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: humor1322Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: captioning1345Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: recognizing things1330Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Vision: creative writing1324Not measuredOnly Gemini 3.1 Pro Preview measured
LMArena Document1444Not measuredOnly Gemini 3.1 Pro Preview measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.1 Pro Preview and GPT-5.1-Codex
BenchmarkGemini 3.1 Pro PreviewGPT-5.1-CodexLeader
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

Gemini 3.1 Pro Preview$0.0080Fits in one request
GPT-5.1-Codex$0.0063Fits in one request

GPT-5.1-Codex costs less

Repository review

50K input + 3K output tokens

Gemini 3.1 Pro Preview$0.136Fits in one request
GPT-5.1-Codex$0.092Fits in one request

GPT-5.1-Codex costs less

Agent loop

200K input + 10K output tokens

Gemini 3.1 Pro Preview$0.520Fits in one request
GPT-5.1-Codex$0.350Fits in one request

GPT-5.1-Codex 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 Gemini 3.1 Pro Preview and GPT-5.1-Codex
SpecificationGoogle Gemini 3.1 Pro PreviewOpenAI GPT-5.1-Codex
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 19, 2026November 13, 2025
Context window1.05M400K
Input $/Mtok$2.00$1.25
Output $/Mtok$12.00$10.00
Coding index35.350.5
Independent measurements behind it12
Cost per solved task$0.99$0.892
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.1 Pro Preview better than GPT-5.1-Codex for coding?

Pick GPT-5.1-Codex for coding: it scores 50.5 on the Vibe Coding Index against 35.3 for Gemini 3.1 Pro Preview. Pick Gemini 3.1 Pro Preview when the context window is larger, 1.05M against 400K tokens, or when what matters is LMArena WebDev or LiveCodeBench (Vals AI), where it leads.

Which is cheaper, Gemini 3.1 Pro Preview or GPT-5.1-Codex?

Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; GPT-5.1-Codex costs $1.25 and $10.00. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and GPT-5.1-Codex $0.892.

Which has the bigger context window, Gemini 3.1 Pro Preview or GPT-5.1-Codex?

Gemini 3.1 Pro Preview, with 1.05M tokens against 400K.

How many benchmarks is the Gemini 3.1 Pro Preview vs GPT-5.1-Codex comparison based on?

21 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Pro Preview's coding index rests on 1 independent benchmark and GPT-5.1-Codex's on 2. Where only one model has a result, the page says so instead of naming a winner.

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