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Gemini 2.5 Pro vs MiniMax M3

MiniMax M3 leads Gemini 2.5 Pro on coding, 39.2 to 19.1 on the Vibe Coding Index, and MiniMax M3 costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 22, 2026; 70 benchmarks have a result for both.

Replace Gemini 2.5 Pro Replace MiniMax M3
Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
36
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
34
vs boards won of 70 shared

Gemini 2.5 Pro or MiniMax M3: which to pick

Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for work measured by LMArena Text: hard prompts or LMArena Vision: diagrams, where it leads.

Model AGemini 2.5 ProGoogle19.1/1003 independent benchmarks$0.64 per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
70
Gemini 2.5 Pro only
20
MiniMax M3 only
46
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, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Agentic work, 24.2 points apart on average over 3 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 2.5 Pro 0.4% against MiniMax M3 47.6%, 47.2 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against MiniMax M3 $1.20 per million output tokens, 8.3x apart.
Context window
Both take 1.05M tokens.

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 ProBarsMiniMax M3Ties
Coding010
Intelligence02
Agentic work03
Reasoning35
Math30
Knowledge61
Web design06
General247
All shared boards3634
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LiveBench codingNot measured70.9%Only MiniMax M3 measured
LMArena WebDev12261482MiniMax M3
AA Coding Index33.358.6MiniMax M3
LiveCodeBench (Vals AI)Not measured82.2%Only MiniMax M3 measured
SWE-bench Verified (Vals AI)54.4%75.0%MiniMax M3
Terminal-Bench 4 (Vals AI)Not measured1.0%Only MiniMax M3 measured
Vibe Code Bench (Vals AI)0.4%47.6%MiniMax M3
Code migration (Vals AI)Not measured19.9%Only MiniMax M3 measured
Terminal-Bench 2.1 (Vals AI)Not measured53.6%Only MiniMax M3 measured
SWE-bench Multimodal (Vals AI)Not measured33.3%Only MiniMax M3 measured
Vibe Code Bench 1-100 (Vals AI)Not measured9.2%Only MiniMax M3 measured
SkillsBench (Vals AI)Not measured51.5%Only MiniMax M3 measured
CyberBench (Vals AI)Not measured65.0%Only MiniMax M3 measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%47.1%MiniMax M3
Terminal-Bench Hard (Artificial Analysis run)26.5%42.4%MiniMax M3
Terminal-Bench32.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierCodeNot measured14.7%Only MiniMax M3 measured
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%Not measuredOnly Gemini 2.5 Pro measured
ALE-BenchNot measured640.0Only MiniMax M3 measured
LMArena Text: coding14521470MiniMax M3
LMArena Text: software and IT14591466MiniMax M3
LMArena WebDev: ReactNot measured1478Only MiniMax M3 measured
LMArena WebDev: HTML12351455MiniMax M3
LMArena WebDev: from an image12851470MiniMax M3
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
AA Intelligence Index16.129.2MiniMax M3
Epoch Capabilities Index145.1146.9MiniMax M3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
Agentic work benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
AA Agentic Index1.629.5MiniMax M3
Design Arena: agents building web appsNot measured1200Only MiniMax M3 measured
Design Arena: agents building full-stack appsNot measured1197Only MiniMax M3 measured
Design Arena: agents building mobile appsNot measured1169Only MiniMax M3 measured
Design Arena: agents building Android appsNot measured1159Only MiniMax M3 measured
Design Arena: agents building gamesNot measured1158Only MiniMax M3 measured
Design Arena: HTML slidesNot measured1130Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1181Only MiniMax M3 measured
Design Arena: spreadsheetsNot measured1028Only MiniMax M3 measured
LiveBench researchNot measured68.0%Only MiniMax M3 measured
LiveBench browserNot measured8.0%Only MiniMax M3 measured
LiveBench long agenticNot measured12.4%Only MiniMax M3 measured
Finance Agent (Vals AI)Not measured48.3%Only MiniMax M3 measured
Tax Agent Bench (Vals AI)Not measured20.6%Only MiniMax M3 measured
Legal Research Bench (Vals AI)Not measured29.8%Only MiniMax M3 measured
Excel Modeling Benchmark (Vals AI)Not measured47.8%Only MiniMax M3 measured
τ²-Bench Telecom54.1%88.9%MiniMax M3
APEX-AgentsNot measured37.7%Only MiniMax M3 measured
GDPval23.3%Not measuredOnly Gemini 2.5 Pro measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
DeepResearch Bench41.5%Not measuredOnly Gemini 2.5 Pro measured
Vending-Bench 2$574$2,158MiniMax M3
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 18 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index35
Reasoning benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
GPQA DiamondNot measured92.7%Only MiniMax M3 measured
LiveBench reasoningNot measured74.5%Only MiniMax M3 measured
MMMU Pro (Vals AI)Not measured81.2%Only MiniMax M3 measured
GPQA Diamond (Artificial Analysis run)84.4%92.9%MiniMax M3
Humanity's Last Exam (Artificial Analysis run)22.5%39.0%MiniMax M3
GPQA Diamond (Epoch AI run)85.3%90.9%MiniMax M3
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
SimpleBenchNot measured45.8%Only MiniMax M3 measured
Chess puzzlesNot measured13.0%Only MiniMax M3 measured
Mystery game puzzlesNot measured8.0%Only MiniMax M3 measured
LMArena Text: hard prompts14551447Gemini 2.5 Pro
LMArena Text: expert14521461MiniMax M3
LMArena Text: hard prompts in English14531455MiniMax M3
LMArena Vision: diagrams12741266Gemini 2.5 Pro
LMArena Vision: homework12811268Gemini 2.5 Pro
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
AA Math Index87.7Not measuredOnly Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)87.7%Not measuredOnly Gemini 2.5 Pro measured
OTIS Mock AIME84.7%71.1%Gemini 2.5 Pro
FrontierMath, tiers 1 to 324.6%Not measuredOnly Gemini 2.5 Pro measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 2.5 Pro measured
ProofBenchNot measured18.0%Only MiniMax M3 measured
LMArena Text: math14501429Gemini 2.5 Pro
LMArena Text: mathematical work14541448Gemini 2.5 Pro
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
Knowledge benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
MMLU ProNot measured84.2%Only MiniMax M3 measured
LegalBench (Vals AI)Not measured85.4%Only MiniMax M3 measured
CaseLaw (Vals AI)63.9%Not measuredOnly Gemini 2.5 Pro measured
CorpFin (Vals AI)60.8%68.1%MiniMax M3
TaxEval (Vals AI)Not measured72.7%Only MiniMax M3 measured
MortgageTax (Vals AI)68.9%68.4%Gemini 2.5 Pro
MedCode (Vals AI)50.6%46.3%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: science14801452Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761441Gemini 2.5 Pro
LMArena Text: legal and government14801437Gemini 2.5 Pro
LMArena Text: business and finance14391434Gemini 2.5 Pro
FACTS Benchmark Suite61.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
Design Arena: websites11671257MiniMax M3
Design Arena: UI components11371242MiniMax M3
Design Arena: game dev11111210MiniMax M3
Design Arena: data viz12221236MiniMax M3
Design Arena: 3D10801208MiniMax M3
Design Arena: all code categories11521247MiniMax M3
Design Arena: SVGNot measured1161Only MiniMax M3 measured
Design Arena: ASCII artNot measured1161Only MiniMax M3 measured
LiveBench designNot measured66.2%Only MiniMax M3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index247
General benchmarks for Gemini 2.5 Pro and MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
LiveBench data analysisNot measured76.2%Only MiniMax M3 measured
Public Benefits Bench (Vals AI)Not measured64.1%Only MiniMax M3 measured
SAGE (Vals AI)41.9%50.6%MiniMax M3
MedScribe (Vals AI)73.5%87.3%MiniMax M3
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBench48.7%82.9%MiniMax M3
Long context reasoning (AA-LCR)69.0%83.0%MiniMax M3
DTBench82.4%78.9%Gemini 2.5 Pro
LMCA34.8%33.7%Gemini 2.5 Pro
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
LMArena Text14581433Gemini 2.5 Pro
LMArena Text: instruction following14371433Gemini 2.5 Pro
LMArena Text: creative writing14541404Gemini 2.5 Pro
LMArena Vision12631251Gemini 2.5 Pro
LMArena Text: English14581443Gemini 2.5 Pro
LMArena Text: non-English14521420Gemini 2.5 Pro
LMArena Text: Chinese15071466Gemini 2.5 Pro
LMArena Text: German14871428Gemini 2.5 Pro
LMArena Text: Japanese14611380Gemini 2.5 Pro
LMArena Text: Korean14341373Gemini 2.5 Pro
LMArena Text: French14731444Gemini 2.5 Pro
LMArena Text: Spanish14741433Gemini 2.5 Pro
LMArena Text: Russian14611426Gemini 2.5 Pro
LMArena Text: Polish14791423Gemini 2.5 Pro
LMArena Text: multi-turn14531443Gemini 2.5 Pro
LMArena Text: longer queries14491446Gemini 2.5 Pro
LMArena Text: writing and language14541419Gemini 2.5 Pro
LMArena Text: entertainment and media14411403Gemini 2.5 Pro
LMArena Vision: English12611263MiniMax M3
LMArena Vision: Chinese13001311MiniMax M3
LMArena Vision: reading text12701259Gemini 2.5 Pro
LMArena Vision: humor12621235Gemini 2.5 Pro
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things12831197Gemini 2.5 Pro
LMArena Vision: creative writing12651234Gemini 2.5 Pro
LMArena Document14211435MiniMax M3
Neither model has a result on the other 9 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 MiniMax M3
BenchmarkGemini 2.5 ProMiniMax M3Leader
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
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
MiniMax M3$0.072Fits in one request

MiniMax M3 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 MiniMax M3
SpecificationGoogle Gemini 2.5 ProMiniMax M3
MakerGoogleMiniMax
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025May 31, 2026
Context window1.05M1.05M
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$1.20
Coding index19.139.2
Independent measurements behind it36
Cost per solved task$0.64$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than MiniMax M3 for coding?

Pick MiniMax M3 for coding: it scores 39.2 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for work measured by LMArena Text: hard prompts or LMArena Vision: diagrams, where it leads.

Which is cheaper, Gemini 2.5 Pro or MiniMax M3?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and MiniMax M3 $0.56.

Which has the bigger context window, Gemini 2.5 Pro or MiniMax M3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 2.5 Pro vs MiniMax M3 comparison based on?

70 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 MiniMax M3's on 6. 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/gemini-2-5-pro-vs-minimax-minimax-m3" title="Gemini 2.5 Pro vs MiniMax M3, 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-minimax-minimax-m3">LLMBenchmark.ai, Gemini 2.5 Pro vs MiniMax M3</a></p>