Enter opens the highlighted result. Esc closes.

Gemini 2.5 Pro vs GPT-5.2

GPT-5.2 leads Gemini 2.5 Pro on coding, 55.9 to 19.1 on the Vibe Coding Index, and Gemini 2.5 Pro costs 1.4x less per output token ($10.00 vs $14.00 per million). Updated October 22, 2026; 84 benchmarks have a result for both.

Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
44
GPT-5.2OpenAI
Coding
55.9
Overall
60.7
Output $/M
$14.00
40
vs boards won of 84 shared

Gemini 2.5 Pro or GPT-5.2: which to pick

Pick GPT-5.2 for coding: it scores 55.9 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for output tokens 1.4x cheaper ($10.00 vs $14.00 per million) and a lower cost per solved task ($0.64 against $1.91).

Shared results
84
Gemini 2.5 Pro only
6
GPT-5.2 only
30
Like-for-like categories
8 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
Gemini 2.5 Pro 19.1 from 3 benchmarks, GPT-5.2 55.9 from 3 benchmarks.
Widest category
Coding, 21.9 points apart on average over 12 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against GPT-5.2 53.5%, 53.1 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against GPT-5.2 $14.00 per million output tokens, 1.4x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, GPT-5.2 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 2.5 ProBarsGPT-5.2Ties
Coding210
Intelligence02
Agentic work13
Reasoning56
Math25
Knowledge73
Web design24
General257
All shared boards4440
CodingLike-for-likeSix of these boards feed the Vibe Coding Index210
Coding benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
SWE-bench Verified53.6%72.8%GPT-5.2
SWE-bench MultilingualNot measured66.7%Only GPT-5.2 measured
LMArena WebDev12261417GPT-5.2
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Vals AI)Not measured85.4%Only GPT-5.2 measured
SWE-bench Verified (Vals AI)54.4%75.8%GPT-5.2
Vibe Code Bench (Vals AI)0.4%53.5%GPT-5.2
LiveCodeBench (Artificial Analysis run)80.1%89.4%GPT-5.2
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%47.0%GPT-5.2
Terminal-Bench32.6%64.9%GPT-5.2
GSO-Bench3.9%27.5%GPT-5.2
WeirdML54.0%72.2%GPT-5.2
ALE-BenchNot measured1293.5Only GPT-5.2 measured
LMArena Text: coding14521442Gemini 2.5 Pro
LMArena Text: software and IT14591434Gemini 2.5 Pro
LMArena WebDev: HTML12351427GPT-5.2
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
AA Intelligence Index16.130.4GPT-5.2
Epoch Capabilities Index145.1153.7GPT-5.2
Agentic workLike-for-likePublic boards, shown as published, kept out of the index13
Agentic work benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
Design Arena: agents building web appsNot measured1086Only GPT-5.2 measured
Design Arena: agents building full-stack appsNot measured1043Only GPT-5.2 measured
Design Arena: agents building mobile appsNot measured1093Only GPT-5.2 measured
Design Arena: agents building Android appsNot measured1059Only GPT-5.2 measured
Design Arena: agents building Godot gamesNot measured1142Only GPT-5.2 measured
τ²-Bench Telecom54.1%84.8%GPT-5.2
METR time horizonsNot measured75.3%Only GPT-5.2 measured
Remote Labor IndexNot measured2.5%Only GPT-5.2 measured
GDPval23.3%49.7%GPT-5.2
DeepResearch Bench41.5%41.1%Gemini 2.5 Pro
Vending-Bench 2$574$3,591GPT-5.2
Berkeley Function Calling Leaderboard (BFCL)Not measured55.9%Only GPT-5.2 measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index56
Reasoning benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
GPQA DiamondNot measured91.7%Only GPT-5.2 measured
MMMU Pro (Vals AI)Not measured86.7%Only GPT-5.2 measured
GPQA Diamond (Artificial Analysis run)84.4%90.3%GPT-5.2
Humanity's Last Exam (Artificial Analysis run)22.5%37.7%GPT-5.2
GPQA Diamond (Epoch AI run)85.3%91.4%GPT-5.2
ARC-AGI41.0%86.2%GPT-5.2
ARC-AGI-24.9%52.9%GPT-5.2
SimpleBenchNot measured45.8%Only GPT-5.2 measured
Chess puzzlesNot measured48.0%Only GPT-5.2 measured
Mystery game puzzlesNot measured23.0%Only GPT-5.2 measured
EBR-benchNot measured23.0%Only GPT-5.2 measured
VPCTNot measured84.0%Only GPT-5.2 measured
LMArena Text: hard prompts14551428Gemini 2.5 Pro
LMArena Text: expert14521445Gemini 2.5 Pro
LMArena Text: hard prompts in English14531431Gemini 2.5 Pro
LMArena Vision: diagrams12741265Gemini 2.5 Pro
LMArena Vision: homework12811276Gemini 2.5 Pro
Kagi LLM Benchmark70.3%73.3%GPT-5.2
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index25
Math benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
AIMENot measured96.9%Only GPT-5.2 measured
MGSM (Vals AI)Not measured94.0%Only GPT-5.2 measured
AA Math Index87.799.0GPT-5.2
AIME 2025 (Artificial Analysis run)87.7%99.0%GPT-5.2
OTIS Mock AIME84.7%96.1%GPT-5.2
FrontierMath, tiers 1 to 324.6%67.4%GPT-5.2
FrontierMath, tier 40.0%31.7%GPT-5.2
ProofBenchNot measured15.0%Only GPT-5.2 measured
LMArena Text: math14501440Gemini 2.5 Pro
LMArena Text: mathematical work14541442Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index73
Knowledge benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
MMLU ProNot measured86.2%Only GPT-5.2 measured
LegalBench (Vals AI)Not measured82.8%Only GPT-5.2 measured
CaseLaw (Vals AI)63.9%66.0%GPT-5.2
CorpFin (Vals AI)60.8%65.9%GPT-5.2
TaxEval (Vals AI)Not measured75.8%Only GPT-5.2 measured
MortgageTax (Vals AI)68.9%67.1%Gemini 2.5 Pro
MedQA (Vals AI)Not measured94.1%Only GPT-5.2 measured
MedCode (Vals AI)50.6%49.8%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%87.4%GPT-5.2
SimpleQA VerifiedNot measured37.1%Only GPT-5.2 measured
LMArena Text: science14801425Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761425Gemini 2.5 Pro
LMArena Text: legal and government14801427Gemini 2.5 Pro
LMArena Text: business and finance14391414Gemini 2.5 Pro
FACTS Benchmark Suite61.5%48.5%Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index24
Web design benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
Design Arena: websites11671195GPT-5.2
Design Arena: UI components11371190GPT-5.2
Design Arena: game dev11111195GPT-5.2
Design Arena: data viz12221202Gemini 2.5 Pro
Design Arena: 3D10801079Gemini 2.5 Pro
Design Arena: all code categories11521170GPT-5.2
Design Arena: SVGNot measured1139Only GPT-5.2 measured
Design Arena: ASCII artNot measured1152Only GPT-5.2 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index257
General benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
SAGE (Vals AI)41.9%49.3%GPT-5.2
MedScribe (Vals AI)73.5%84.4%GPT-5.2
IFBench48.7%75.4%GPT-5.2
Long context reasoning (AA-LCR)69.0%82.7%GPT-5.2
DTBench82.4%90.9%GPT-5.2
LMCA34.8%43.9%GPT-5.2
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
CL-benchNot measured18.2%Only GPT-5.2 measured
Furniture assemblyNot measured38.3%Only GPT-5.2 measured
LMArena Text14581416Gemini 2.5 Pro
LMArena Text: instruction following14371409Gemini 2.5 Pro
LMArena Text: creative writing14541376Gemini 2.5 Pro
LMArena Vision12631246Gemini 2.5 Pro
LMArena Text: English14581422Gemini 2.5 Pro
LMArena Text: non-English14521405Gemini 2.5 Pro
LMArena Text: Chinese15071447Gemini 2.5 Pro
LMArena Text: German14871444Gemini 2.5 Pro
LMArena Text: Japanese14611420Gemini 2.5 Pro
LMArena Text: Korean14341374Gemini 2.5 Pro
LMArena Text: French14731454Gemini 2.5 Pro
LMArena Text: Spanish14741413Gemini 2.5 Pro
LMArena Text: Russian14611415Gemini 2.5 Pro
LMArena Text: Polish14791426Gemini 2.5 Pro
LMArena Text: multi-turn14531419Gemini 2.5 Pro
LMArena Text: longer queries14491413Gemini 2.5 Pro
LMArena Text: writing and language14541392Gemini 2.5 Pro
LMArena Text: entertainment and media14411378Gemini 2.5 Pro
LMArena Vision: English12611243Gemini 2.5 Pro
LMArena Vision: Chinese13001305GPT-5.2
LMArena Vision: reading text12701257Gemini 2.5 Pro
LMArena Vision: humor12621227Gemini 2.5 Pro
LMArena Vision: captioning13041267Gemini 2.5 Pro
LMArena Vision: recognizing things12831232Gemini 2.5 Pro
LMArena Vision: creative writing12651225Gemini 2.5 Pro
LMArena Document14211405Gemini 2.5 Pro
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Pro and GPT-5.2
BenchmarkGemini 2.5 ProGPT-5.2Leader
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 2.5 Pro$0.0063Fits in one request
GPT-5.2$0.0088Fits in one request

Gemini 2.5 Pro costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
GPT-5.2$0.130Fits in one request

Gemini 2.5 Pro costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
GPT-5.2$0.490Fits in one request

Gemini 2.5 Pro 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 2.5 Pro and GPT-5.2
SpecificationGoogle Gemini 2.5 ProOpenAI GPT-5.2
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025December 10, 2025
Context window1.05M400K
Input $/Mtok$1.25$1.75
Output $/Mtok$10.00$14.00
Coding index19.155.9
Independent measurements behind it33
Cost per solved task$0.64$1.91
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than GPT-5.2 for coding?

Pick GPT-5.2 for coding: it scores 55.9 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for output tokens 1.4x cheaper ($10.00 vs $14.00 per million) and a lower cost per solved task ($0.64 against $1.91).

Which is cheaper, Gemini 2.5 Pro or GPT-5.2?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; GPT-5.2 costs $1.75 and $14.00. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and GPT-5.2 $1.91.

Which has the bigger context window, Gemini 2.5 Pro or GPT-5.2?

Gemini 2.5 Pro, with 1.05M tokens against 400K.

How many benchmarks is the Gemini 2.5 Pro vs GPT-5.2 comparison based on?

84 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Pro's coding index rests on 3 independent benchmarks and GPT-5.2's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-2-5-pro-vs-gpt-5-2" title="Gemini 2.5 Pro vs GPT-5.2, 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/gemini-2-5-pro-vs-gpt-5-2">LLMBenchmark.ai, Gemini 2.5 Pro vs GPT-5.2</a></p>