Enter opens the highlighted result. Esc closes.

Gemini 2.5 Pro vs o4 Mini

o4 Mini leads Gemini 2.5 Pro on the Artificial Analysis Intelligence Index, 16.7 to 16.1, and o4 Mini costs 2.3x less per output token ($4.40 vs $10.00 per million). Updated October 22, 2026; 75 benchmarks have a result for both.

Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
63
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
12
vs boards won of 75 shared

Gemini 2.5 Pro or o4 Mini: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding.

Pick o4 Mini for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by SWE-bench Verified or LiveCodeBench (Artificial Analysis run), where it leads.

Shared results
75
Gemini 2.5 Pro only
15
o4 Mini only
23
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, o4 Mini not benchmarked.
Widest category
Web design, 22.4 points apart on average over 6 shared benchmarks.
Widest single gap
FACTS Benchmark Suite: Gemini 2.5 Pro 61.5% against o4 Mini 28.1%, 33.4 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against o4 Mini $4.40 per million output tokens, 2.3x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, o4 Mini 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
CategoryGemini 2.5 ProBarso4 MiniTies
Coding52
Intelligence02
Agentic work01
Reasoning92
Math34
Knowledge90
Web design60
General311
All shared boards6312
CodingLike-for-likeSix of these boards feed the Vibe Coding Index52
Coding benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench Verified53.6%64.6%o4 Mini
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
LMArena WebDev1226Not measuredOnly Gemini 2.5 Pro measured
AA Coding Index33.3Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini measured
SWE-bench Verified (Vals AI)54.4%Not measuredOnly Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)0.4%Not measuredOnly Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)80.1%85.9%o4 Mini
SciCode46.3%Not measuredOnly Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)26.5%15.2%Gemini 2.5 Pro
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
GSO-Bench3.9%3.6%Gemini 2.5 Pro
WeirdML54.0%52.6%Gemini 2.5 Pro
LMArena Text: coding14521368Gemini 2.5 Pro
LMArena Text: software and IT14591367Gemini 2.5 Pro
LMArena WebDev: HTML1235Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
AA Intelligence Index16.116.7o4 Mini
Epoch Capabilities Index145.1145.5o4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
AA Agentic Index1.6Not measuredOnly Gemini 2.5 Pro measured
τ²-Bench Telecom54.1%55.6%o4 Mini
METR time horizonsNot measured63.9%Only o4 Mini measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574Not measuredOnly Gemini 2.5 Pro measured
Berkeley Function Calling Leaderboard (BFCL)Not measured53.2%Only o4 Mini measured
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index92
Reasoning benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
GPQA DiamondNot measured74.5%Only o4 Mini measured
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)84.4%78.4%Gemini 2.5 Pro
Humanity's Last Exam (Artificial Analysis run)22.5%16.5%Gemini 2.5 Pro
GPQA Diamond (Epoch AI run)85.3%79.6%Gemini 2.5 Pro
ARC-AGI41.0%58.7%o4 Mini
ARC-AGI-24.9%6.1%o4 Mini
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts14551351Gemini 2.5 Pro
LMArena Text: expert14521343Gemini 2.5 Pro
LMArena Text: hard prompts in English14531366Gemini 2.5 Pro
LMArena Vision: diagrams12741197Gemini 2.5 Pro
LMArena Vision: homework12811234Gemini 2.5 Pro
Kagi LLM Benchmark70.3%67.6%Gemini 2.5 Pro
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index34
Math benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
AIMENot measured83.7%Only o4 Mini measured
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math Index87.790.7o4 Mini
AIME 2025 (Artificial Analysis run)87.7%90.7%o4 Mini
OTIS Mock AIME84.7%81.7%Gemini 2.5 Pro
FrontierMath, tiers 1 to 324.6%36.1%o4 Mini
FrontierMath, tier 40.0%4.9%o4 Mini
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math14501389Gemini 2.5 Pro
LMArena Text: mathematical work14541379Gemini 2.5 Pro
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
MMLU ProNot measured80.6%Only o4 Mini measured
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%59.0%Gemini 2.5 Pro
TaxEval (Vals AI)Not measured74.8%Only o4 Mini measured
MortgageTax (Vals AI)68.9%64.8%Gemini 2.5 Pro
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)50.6%33.8%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%83.2%Gemini 2.5 Pro
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science14801354Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761361Gemini 2.5 Pro
LMArena Text: legal and government14801350Gemini 2.5 Pro
LMArena Text: business and finance14391325Gemini 2.5 Pro
FACTS Benchmark Suite61.5%28.1%Gemini 2.5 Pro
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
Design Arena: websites1167985Gemini 2.5 Pro
Design Arena: UI components1137983Gemini 2.5 Pro
Design Arena: game dev11111003Gemini 2.5 Pro
Design Arena: data viz1222991Gemini 2.5 Pro
Design Arena: 3D1080854Gemini 2.5 Pro
Design Arena: all code categories1152976Gemini 2.5 Pro
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index311
General benchmarks for Gemini 2.5 Pro and o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
SAGE (Vals AI)41.9%41.1%Gemini 2.5 Pro
MedScribe (Vals AI)73.5%69.1%Gemini 2.5 Pro
IFBench48.7%68.7%o4 Mini
Long context reasoning (AA-LCR)69.0%61.0%Gemini 2.5 Pro
DTBench82.4%77.6%Gemini 2.5 Pro
LMCA34.8%26.5%Gemini 2.5 Pro
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)83.8%75.0%Gemini 2.5 Pro
LMArena Text14581353Gemini 2.5 Pro
LMArena Text: instruction following14371320Gemini 2.5 Pro
LMArena Text: creative writing14541294Gemini 2.5 Pro
LMArena Vision12631194Gemini 2.5 Pro
LMArena Text: English14581367Gemini 2.5 Pro
LMArena Text: non-English14521337Gemini 2.5 Pro
LMArena Text: Chinese15071354Gemini 2.5 Pro
LMArena Text: German14871336Gemini 2.5 Pro
LMArena Text: Japanese14611308Gemini 2.5 Pro
LMArena Text: Korean14341312Gemini 2.5 Pro
LMArena Text: French14731364Gemini 2.5 Pro
LMArena Text: Spanish14741346Gemini 2.5 Pro
LMArena Text: Russian14611334Gemini 2.5 Pro
LMArena Text: Polish14791358Gemini 2.5 Pro
LMArena Text: multi-turn14531350Gemini 2.5 Pro
LMArena Text: longer queries14491315Gemini 2.5 Pro
LMArena Text: writing and language14541316Gemini 2.5 Pro
LMArena Text: entertainment and media14411308Gemini 2.5 Pro
LMArena Vision: English12611200Gemini 2.5 Pro
LMArena Vision: Chinese13001218Gemini 2.5 Pro
LMArena Vision: reading text12701197Gemini 2.5 Pro
LMArena Vision: humor12621199Gemini 2.5 Pro
LMArena Vision: captioning13041204Gemini 2.5 Pro
LMArena Vision: recognizing things12831218Gemini 2.5 Pro
LMArena Vision: creative writing12651166Gemini 2.5 Pro
LMArena Document1421Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 12 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 o4 Mini
BenchmarkGemini 2.5 Proo4 MiniLeader
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
o4 Mini$0.0033Fits in one request

o4 Mini costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
o4 Mini$0.068Fits in one request

o4 Mini costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
o4 Mini$0.264Exceeds the context window

o4 Mini 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 o4 Mini
SpecificationGoogle Gemini 2.5 ProOpenAI o4 Mini
MakerGoogleOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJune 17, 2025April 16, 2025
Context window1.05M200K
Input $/Mtok$1.25$1.10
Output $/Mtok$10.00$4.40
Coding index19.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than o4 Mini for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 on the Vibe Coding Index; o4 Mini has none, so the two cannot be ranked on coding. Pick o4 Mini for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by SWE-bench Verified or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Gemini 2.5 Pro or o4 Mini?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Gemini 2.5 Pro or o4 Mini?

Gemini 2.5 Pro, with 1.05M tokens against 200K.

How many benchmarks is the Gemini 2.5 Pro vs o4 Mini comparison based on?

75 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 o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next