Enter opens the highlighted result. Esc closes.

Gemma 3 27B vs MiniMax M2.7

MiniMax M2.7 leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 22.8 to 4.9, and Gemma 3 27B costs 4.0x less per output token ($0.30 vs $1.20 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace Gemma 3 27B Replace MiniMax M2.7
Gemma 3 27BGoogle
Coding
No data
Overall
31.4
Output $/M
$0.30
1
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
38
vs boards won of 39 shared

Gemma 3 27B or MiniMax M2.7: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Gemma 3 27B has none, so the two cannot be ranked on coding.

Pick Gemma 3 27B for output tokens 4.0x cheaper ($0.30 vs $1.20 per million) and work measured by LMArena Text: Japanese, where it leads.

Model AGemma 3 27BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
39
Gemma 3 27B only
27
MiniMax M2.7 only
35
Like-for-like categories
7 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
Gemma 3 27B not benchmarked, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 44.7 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 3 27B 10.5% against MiniMax M2.7 84.8%, 74.3 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.30 against MiniMax M2.7 $1.20 per million output tokens, 4.0x apart.
Context window
Gemma 3 27B takes 131K 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
CategoryGemma 3 27BBarsMiniMax M2.7Ties
Coding05
Intelligence02
Agentic work02
Reasoning05
Math02
Knowledge04
General118
All shared boards138
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax M2.7Leader
Aider polyglot4.9%Not measuredOnly Gemma 3 27B measured
LMArena WebDevNot measured1399Only MiniMax M2.7 measured
AA Coding Index10.152.6MiniMax M2.7
LiveCodeBench (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
SWE-bench Verified (Vals AI)Not measured73.8%Only MiniMax M2.7 measured
Vibe Code Bench (Vals AI)Not measured11.9%Only MiniMax M2.7 measured
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)13.7%Not measuredOnly Gemma 3 27B measured
SciCode23.3%50.1%MiniMax M2.7
Terminal-Bench Hard (Artificial Analysis run)3.8%39.4%MiniMax M2.7
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdMLNot measured37.0%Only MiniMax M2.7 measured
ALE-BenchNot measured599.3Only MiniMax M2.7 measured
LMArena Text: coding13221454MiniMax M2.7
LMArena Text: software and IT13541446MiniMax M2.7
LMArena WebDev: ReactNot measured1388Only MiniMax M2.7 measured
LMArena WebDev: HTMLNot measured1401Only MiniMax M2.7 measured
SciCode0.0%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax M2.7Leader
AA Intelligence Index4.922.8MiniMax M2.7
Epoch Capabilities Index130.0145.8MiniMax M2.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax M2.7Leader
AA Agentic Index0.115.3MiniMax 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 Telecom10.5%84.8%MiniMax M2.7
Berkeley Function Calling Leaderboard (BFCL)29.5%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax M2.7Leader
GPQA DiamondNot measured86.6%Only MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)42.8%87.4%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)4.4%29.6%MiniMax M2.7
GPQA Diamond (Epoch AI run)47.7%Not measuredOnly Gemma 3 27B measured
LMArena Text: hard prompts13401422MiniMax M2.7
LMArena Text: expert13041443MiniMax M2.7
LMArena Text: hard prompts in English13531441MiniMax M2.7
LMArena Vision: diagrams1156Not measuredOnly Gemma 3 27B measured
LMArena Vision: homework1160Not measuredOnly Gemma 3 27B measured
Kagi LLM Benchmark35.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
AA Math Index20.7Not measuredOnly Gemma 3 27B measured
AIME 2025 (Artificial Analysis run)20.7%Not measuredOnly Gemma 3 27B measured
OTIS Mock AIME22.5%Not measuredOnly Gemma 3 27B measured
ProofBenchNot measured3.0%Only MiniMax M2.7 measured
MATH level 574.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: math13121421MiniMax M2.7
LMArena Text: mathematical work13271437MiniMax M2.7
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax 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)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)Not measured61.2%Only MiniMax M2.7 measured
TaxEval (Vals AI)Not measured66.6%Only MiniMax M2.7 measured
MedCode (Vals AI)Not measured34.4%Only MiniMax M2.7 measured
MMLU Pro (Artificial Analysis run)66.9%Not measuredOnly Gemma 3 27B measured
GeoBench52.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: science13831416MiniMax M2.7
LMArena Text: medicine and healthcare13911409MiniMax M2.7
LMArena Text: legal and government13751403MiniMax M2.7
LMArena Text: business and finance13601407MiniMax M2.7
FACTS Benchmark Suite29.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax M2.7Leader
Design Arena: websitesNot measured1242Only MiniMax M2.7 measured
Design Arena: UI componentsNot measured1207Only MiniMax M2.7 measured
Design Arena: game devNot measured1209Only MiniMax M2.7 measured
Design Arena: data vizNot measured1233Only MiniMax M2.7 measured
Design Arena: 3DNot measured1194Only MiniMax M2.7 measured
Design Arena: all code categoriesNot measured1233Only MiniMax M2.7 measured
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 index118
General benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax M2.7Leader
MedScribe (Vals AI)Not measured79.9%Only MiniMax M2.7 measured
IFBench31.8%75.7%MiniMax M2.7
Long context reasoning (AA-LCR)7.3%78.3%MiniMax M2.7
DTBench52.5%Not measuredOnly Gemma 3 27B measured
LMCA12.3%Not measuredOnly Gemma 3 27B measured
Fiction.LiveBench33.3%Not measuredOnly Gemma 3 27B measured
Creative writing (Lech Mazur)79.9%Not measuredOnly Gemma 3 27B measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text13581405MiniMax M2.7
LMArena Text: instruction following13211405MiniMax M2.7
LMArena Text: creative writing13451354MiniMax M2.7
LMArena Vision1165Not measuredOnly Gemma 3 27B measured
LMArena Text: English13771426MiniMax M2.7
LMArena Text: non-English13341382MiniMax M2.7
LMArena Text: Chinese13461442MiniMax M2.7
LMArena Text: German13621398MiniMax M2.7
LMArena Text: Japanese12871260Gemma 3 27B
LMArena Text: Korean13081314MiniMax M2.7
LMArena Text: French13681424MiniMax M2.7
LMArena Text: Spanish13491402MiniMax M2.7
LMArena Text: Russian13491383MiniMax M2.7
LMArena Text: Polish13451387MiniMax M2.7
LMArena Text: multi-turn13451412MiniMax M2.7
LMArena Text: longer queries13331418MiniMax M2.7
LMArena Text: writing and language13471376MiniMax M2.7
LMArena Text: entertainment and media13201360MiniMax M2.7
LMArena Vision: English1188Not measuredOnly Gemma 3 27B measured
LMArena Vision: Chinese1164Not measuredOnly Gemma 3 27B measured
LMArena Vision: reading text1156Not measuredOnly Gemma 3 27B measured
LMArena Vision: humor1166Not measuredOnly Gemma 3 27B measured
LMArena Vision: captioning1151Not measuredOnly Gemma 3 27B measured
LMArena Vision: recognizing things1196Not measuredOnly Gemma 3 27B measured
LMArena Vision: creative writing1177Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 27B and MiniMax M2.7
BenchmarkGemma 3 27BMiniMax 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

Gemma 3 27B$0.0002Fits in one request
MiniMax M2.7$0.0009Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0049Fits in one request
MiniMax M2.7$0.019Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
MiniMax M2.7$0.072Exceeds the context window

Gemma 3 27B 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 Gemma 3 27B and MiniMax M2.7
SpecificationGoogle Gemma 3 27BMiniMax M2.7
MakerGoogleMiniMax
WeightsOpen weightsOpen weights
ReleasedMarch 12, 2025March 18, 2026
Context window131K205K
Input $/Mtok$0.08$0.30
Output $/Mtok$0.30$1.20
Coding indexNot benchmarked36.2
Independent measurements behind it03
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B better than MiniMax M2.7 for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Gemma 3 27B has none, so the two cannot be ranked on coding. Pick Gemma 3 27B for output tokens 4.0x cheaper ($0.30 vs $1.20 per million) and work measured by LMArena Text: Japanese, where it leads.

Which is cheaper, Gemma 3 27B or MiniMax M2.7?

Gemma 3 27B costs $0.08 per million input tokens and $0.30 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, Gemma 3 27B or MiniMax M2.7?

MiniMax M2.7, with 205K tokens against 131K.

How many benchmarks is the Gemma 3 27B vs MiniMax M2.7 comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Gemma 3 27B's coding index rests on 0 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.

Compare next