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Gemini 2.5 Pro vs MiniMax M2.7

MiniMax M2.7 leads Gemini 2.5 Pro on coding, 36.2 to 19.1 on the Vibe Coding Index, and MiniMax M2.7 costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Gemini 2.5 ProGoogle
Coding
19.1
Overall
41.8
Output $/M
$10.00
30
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
25
vs boards won of 55 shared

Gemini 2.5 Pro or MiniMax M2.7: which to pick

Pick MiniMax M2.7 for coding: it scores 36.2 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro.

Pick Gemini 2.5 Pro for a larger context window (1.05M against 205K tokens) and work measured by WeirdML or LMArena Text: software and IT, where it leads.

Shared results
55
Gemini 2.5 Pro only
35
MiniMax M2.7 only
19
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 M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 22.2 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Gemini 2.5 Pro 1461 against MiniMax M2.7 1260, 33.5 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Pro $10.00 against MiniMax M2.7 $1.20 per million output tokens, 8.3x apart.
Context window
Gemini 2.5 Pro takes 1.05M tokens, MiniMax M2.7 205K.

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 M2.7Ties
Coding29
Intelligence02
Agentic work02
Reasoning32
Math20
Knowledge61
Web design06
General173
All shared boards3025
CodingLike-for-likeSix of these boards feed the Vibe Coding Index29
Coding benchmarks for Gemini 2.5 Pro and MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
SWE-bench Verified53.6%Not measuredOnly Gemini 2.5 Pro measured
LMArena WebDev12261399MiniMax M2.7
AA Coding Index33.352.6MiniMax M2.7
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)54.4%73.8%MiniMax M2.7
Vibe Code Bench (Vals AI)0.4%11.9%MiniMax M2.7
Code migration (Vals AI)Not measured8.7%Only MiniMax M2.7 measured
ProgramBench (Vals AI)Not measured0.0%Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)Not measured48.7%Only MiniMax M2.7 measured
LiveCodeBench (Artificial Analysis run)80.1%Not measuredOnly Gemini 2.5 Pro measured
SciCode46.3%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)26.5%39.4%MiniMax M2.7
Terminal-Bench32.6%45.1%MiniMax M2.7
GSO-Bench3.9%Not measuredOnly Gemini 2.5 Pro measured
WeirdML54.0%37.0%Gemini 2.5 Pro
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding14521454MiniMax M2.7
LMArena Text: software and IT14591446Gemini 2.5 Pro
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTML12351401MiniMax M2.7
LMArena WebDev: from an image1285Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemini 2.5 Pro and MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
AA Intelligence Index16.122.8MiniMax M2.7
Epoch Capabilities Index145.1145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 2.5 Pro and MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
AA Agentic Index1.615.3MiniMax M2.7
Finance Agent (Vals AI)Not measured27.9%Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)Not measured6.9%Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)Not measured10.6%Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)Not measured28.4%Only MiniMax M2.7 measured
τ²-Bench Telecom54.1%84.8%MiniMax M2.7
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
BrowseComp-Plus29.5%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for Gemini 2.5 Pro and MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)84.4%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)22.5%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)85.3%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI41.0%Not measuredOnly Gemini 2.5 Pro measured
ARC-AGI-24.9%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: hard prompts14551422Gemini 2.5 Pro
LMArena Text: expert14521443Gemini 2.5 Pro
LMArena Text: hard prompts in English14531441Gemini 2.5 Pro
LMArena Vision: diagrams1274Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: homework1281Not measuredOnly Gemini 2.5 Pro measured
Kagi LLM Benchmark70.3%Not measuredOnly Gemini 2.5 Pro measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 2.5 Pro and MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
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%Not measuredOnly Gemini 2.5 Pro measured
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 measured3.0%Only MiniMax M2.7 measured
LMArena Text: math14501421Gemini 2.5 Pro
LMArena Text: mathematical work14541437Gemini 2.5 Pro
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
Knowledge benchmarks for Gemini 2.5 Pro and MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
MMLU ProNot measured80.4%Only MiniMax M2.7 measured
LegalBench (Vals AI)Not measured84.0%Only MiniMax M2.7 measured
CaseLaw (Vals AI)63.9%60.9%Gemini 2.5 Pro
CorpFin (Vals AI)60.8%61.2%MiniMax M2.7
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MortgageTax (Vals AI)68.9%Not measuredOnly Gemini 2.5 Pro measured
MedCode (Vals AI)50.6%34.4%Gemini 2.5 Pro
MMLU Pro (Artificial Analysis run)86.2%Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: science14801416Gemini 2.5 Pro
LMArena Text: medicine and healthcare14761409Gemini 2.5 Pro
LMArena Text: legal and government14801403Gemini 2.5 Pro
LMArena Text: business and finance14391407Gemini 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 M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
Design Arena: websites11671243MiniMax M2.7
Design Arena: UI components11371210MiniMax M2.7
Design Arena: game dev11111209MiniMax M2.7
Design Arena: data viz12221233MiniMax M2.7
Design Arena: 3D10801195MiniMax M2.7
Design Arena: all code categories11521233MiniMax M2.7
Design Arena: SVGNot measured1137Only MiniMax M2.7 measured
Design Arena: ASCII artNot measured1136Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index173
General benchmarks for Gemini 2.5 Pro and MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
SAGE (Vals AI)41.9%Not measuredOnly Gemini 2.5 Pro measured
MedScribe (Vals AI)73.5%79.9%MiniMax M2.7
IFBench48.7%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)69.0%78.3%MiniMax M2.7
DTBench82.4%Not measuredOnly Gemini 2.5 Pro measured
LMCA34.8%Not measuredOnly Gemini 2.5 Pro measured
Creative writing (Lech Mazur)83.8%Not measuredOnly Gemini 2.5 Pro measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14581405Gemini 2.5 Pro
LMArena Text: instruction following14371405Gemini 2.5 Pro
LMArena Text: creative writing14541354Gemini 2.5 Pro
LMArena Vision1263Not measuredOnly Gemini 2.5 Pro measured
LMArena Text: English14581426Gemini 2.5 Pro
LMArena Text: non-English14521382Gemini 2.5 Pro
LMArena Text: Chinese15071442Gemini 2.5 Pro
LMArena Text: German14871398Gemini 2.5 Pro
LMArena Text: Japanese14611260Gemini 2.5 Pro
LMArena Text: Korean14341314Gemini 2.5 Pro
LMArena Text: French14731424Gemini 2.5 Pro
LMArena Text: Spanish14741402Gemini 2.5 Pro
LMArena Text: Russian14611383Gemini 2.5 Pro
LMArena Text: Polish14791387Gemini 2.5 Pro
LMArena Text: multi-turn14531412Gemini 2.5 Pro
LMArena Text: longer queries14491418Gemini 2.5 Pro
LMArena Text: writing and language14541376Gemini 2.5 Pro
LMArena Text: entertainment and media14411360Gemini 2.5 Pro
LMArena Vision: English1261Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: Chinese1300Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: reading text1270Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: humor1262Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: captioning1304Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: recognizing things1283Not measuredOnly Gemini 2.5 Pro measured
LMArena Vision: creative writing1265Not measuredOnly Gemini 2.5 Pro measured
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 MiniMax M2.7
BenchmarkGemini 2.5 ProMiniMax M2.7Leader
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 M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Pro$0.092Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Pro$0.350Fits in one request
MiniMax M2.7$0.072Exceeds the context window

MiniMax M2.7 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 M2.7
SpecificationGoogle Gemini 2.5 ProMiniMax M2.7
MakerGoogleMiniMax
WeightsNo public weights listedOpen weights
ReleasedJune 17, 2025March 18, 2026
Context window1.05M205K
Input $/Mtok$1.25$0.30
Output $/Mtok$10.00$1.20
Coding index19.136.2
Independent measurements behind it33
Cost per solved task$0.64$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Pro better than MiniMax M2.7 for coding?

Pick MiniMax M2.7 for coding: it scores 36.2 on the Vibe Coding Index against 19.1 for Gemini 2.5 Pro. Pick Gemini 2.5 Pro for a larger context window (1.05M against 205K tokens) and work measured by WeirdML or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemini 2.5 Pro or MiniMax M2.7?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Gemini 2.5 Pro costs $0.64 and MiniMax M2.7 $0.64.

Which has the bigger context window, Gemini 2.5 Pro or MiniMax M2.7?

Gemini 2.5 Pro, with 1.05M tokens against 205K.

How many benchmarks is the Gemini 2.5 Pro vs MiniMax M2.7 comparison based on?

55 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 M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<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-m2-7">LLMBenchmark.ai, Gemini 2.5 Pro vs MiniMax M2.7</a></p>