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Gemini 3.5 Flash vs MiniMax M2.7

Gemini 3.5 Flash leads MiniMax M2.7 on coding, 39.8 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 7.5x less per output token ($1.20 vs $9.00 per million). Updated October 22, 2026; 68 benchmarks have a result for both.

Replace Gemini 3.5 Flash Replace MiniMax M2.7
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
64
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
3
vs boards won of 68 shared, 1 tied

Gemini 3.5 Flash or MiniMax M2.7: which to pick

Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for output tokens 7.5x cheaper ($1.20 vs $9.00 per million) and a lower cost per solved task ($0.64 against $1.21).

Model AGemini 3.5 FlashGoogle39.8/1004 independent benchmarks$1.21 per solved taskModel BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task
Shared results
68
Gemini 3.5 Flash only
44
MiniMax M2.7 only
6
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 3.5 Flash 39.8 from 4 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 22.2 points apart on average over 5 shared benchmarks.
Widest single gap
LMArena Text: Japanese: Gemini 3.5 Flash 1486 against MiniMax M2.7 1260, 37.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against MiniMax M2.7 $1.20 per million output tokens, 7.5x apart.
Context window
Gemini 3.5 Flash 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 3.5 FlashBarsMiniMax M2.7Ties
Coding1401 tie
Intelligence20
Agentic work50
Reasoning60
Math30
Knowledge81
Web design80
General182
All shared boards6431 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index140
Coding benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
LMArena WebDev14991399Gemini 3.5 Flash
AA Coding IndexNot measured52.6Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)87.6%79.9%Gemini 3.5 Flash
SWE-bench Verified (Vals AI)78.8%73.8%Gemini 3.5 Flash
Terminal-Bench 4 (Vals AI)6.1%Not measuredOnly Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)48.7%11.9%Gemini 3.5 Flash
Code migration (Vals AI)26.8%8.7%Gemini 3.5 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)74.2%48.7%Gemini 3.5 Flash
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%50.1%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%39.4%Gemini 3.5 Flash
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
WeirdML62.6%37.0%Gemini 3.5 Flash
ALE-Bench911.0599.3Gemini 3.5 Flash
LMArena Text: coding14931454Gemini 3.5 Flash
LMArena Text: software and IT14941446Gemini 3.5 Flash
LMArena WebDev: React14951388Gemini 3.5 Flash
LMArena WebDev: HTML15221401Gemini 3.5 Flash
LMArena WebDev: from an image1504Not measuredOnly Gemini 3.5 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
AA Intelligence Index33.622.8Gemini 3.5 Flash
Epoch Capabilities Index154.9145.8Gemini 3.5 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
AA Agentic IndexNot measured15.3Only MiniMax M2.7 measured
Design Arena: agents building web apps1202Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building full-stack apps1197Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building mobile apps1174Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1185Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Godot games1098Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building games1180Not measuredOnly Gemini 3.5 Flash measured
Design Arena: HTML slides1093Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1154Not measuredOnly Gemini 3.5 Flash measured
Finance Agent (Vals AI)57.9%27.9%Gemini 3.5 Flash
Tax Agent Bench (Vals AI)21.6%6.9%Gemini 3.5 Flash
Legal Research Bench (Vals AI)30.8%10.6%Gemini 3.5 Flash
Excel Modeling Benchmark (Vals AI)63.5%28.4%Gemini 3.5 Flash
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%84.8%Gemini 3.5 Flash
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
GPQA Diamond92.7%86.6%Gemini 3.5 Flash
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%87.4%Gemini 3.5 Flash
Humanity's Last Exam (Artificial Analysis run)42.7%29.6%Gemini 3.5 Flash
GPQA Diamond (Epoch AI run)92.8%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI92.5%Not measuredOnly Gemini 3.5 Flash measured
ARC-AGI-272.1%Not measuredOnly Gemini 3.5 Flash measured
SimpleBench76.7%Not measuredOnly Gemini 3.5 Flash measured
Chess puzzles45.0%Not measuredOnly Gemini 3.5 Flash measured
Mystery game puzzles32.0%Not measuredOnly Gemini 3.5 Flash measured
EBR-bench4.8%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts14881422Gemini 3.5 Flash
LMArena Text: expert14951443Gemini 3.5 Flash
LMArena Text: hard prompts in English14831441Gemini 3.5 Flash
LMArena Vision: diagrams1323Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: homework1330Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME95.6%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 362.8%Not measuredOnly Gemini 3.5 Flash measured
FrontierMath, tier 426.8%Not measuredOnly Gemini 3.5 Flash measured
ProofBench31.0%3.0%Gemini 3.5 Flash
LMArena Text: math15041421Gemini 3.5 Flash
LMArena Text: mathematical work14951437Gemini 3.5 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
MMLU Pro89.5%80.4%Gemini 3.5 Flash
LegalBench (Vals AI)83.6%84.0%MiniMax M2.7
CaseLaw (Vals AI)Not measured60.9%Only MiniMax M2.7 measured
CorpFin (Vals AI)64.7%61.2%Gemini 3.5 Flash
TaxEval (Vals AI)74.4%66.6%Gemini 3.5 Flash
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%34.4%Gemini 3.5 Flash
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science14951416Gemini 3.5 Flash
LMArena Text: medicine and healthcare14831409Gemini 3.5 Flash
LMArena Text: legal and government14881403Gemini 3.5 Flash
LMArena Text: business and finance14671407Gemini 3.5 Flash
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
Design Arena: websites12671243Gemini 3.5 Flash
Design Arena: UI components12691210Gemini 3.5 Flash
Design Arena: game dev12631209Gemini 3.5 Flash
Design Arena: data viz12361233Gemini 3.5 Flash
Design Arena: 3D12431195Gemini 3.5 Flash
Design Arena: all code categories12661233Gemini 3.5 Flash
Design Arena: SVG12531137Gemini 3.5 Flash
Design Arena: ASCII art12541136Gemini 3.5 Flash
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index182
General benchmarks for Gemini 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax M2.7Leader
Public Benefits Bench (Vals AI)59.5%Not measuredOnly Gemini 3.5 Flash measured
SAGE (Vals AI)49.9%Not measuredOnly Gemini 3.5 Flash measured
MedScribe (Vals AI)76.6%79.9%MiniMax M2.7
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%75.7%Gemini 3.5 Flash
Long context reasoning (AA-LCR)74.3%78.3%MiniMax M2.7
DTBench94.7%Not measuredOnly Gemini 3.5 Flash measured
LMCA47.1%Not measuredOnly Gemini 3.5 Flash measured
Surface Evolver Bench58.1%Not measuredOnly Gemini 3.5 Flash measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14821405Gemini 3.5 Flash
LMArena Text: instruction following14671405Gemini 3.5 Flash
LMArena Text: creative writing14701354Gemini 3.5 Flash
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English14811426Gemini 3.5 Flash
LMArena Text: non-English14751382Gemini 3.5 Flash
LMArena Text: Chinese15271442Gemini 3.5 Flash
LMArena Text: German14941398Gemini 3.5 Flash
LMArena Text: Japanese14861260Gemini 3.5 Flash
LMArena Text: Korean14481314Gemini 3.5 Flash
LMArena Text: French14901424Gemini 3.5 Flash
LMArena Text: Spanish14801402Gemini 3.5 Flash
LMArena Text: Russian14931383Gemini 3.5 Flash
LMArena Text: Polish15161387Gemini 3.5 Flash
LMArena Text: multi-turn14811412Gemini 3.5 Flash
LMArena Text: longer queries14831418Gemini 3.5 Flash
LMArena Text: writing and language14781376Gemini 3.5 Flash
LMArena Text: entertainment and media14591360Gemini 3.5 Flash
LMArena Vision: English1305Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: Chinese1377Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: reading text1317Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision: creative writing1301Not measuredOnly Gemini 3.5 Flash measured
LMArena Document1463Not measuredOnly Gemini 3.5 Flash 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 3.5 Flash and MiniMax M2.7
BenchmarkGemini 3.5 FlashMiniMax 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 3.5 Flash$0.0060Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits 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 3.5 Flash and MiniMax M2.7
SpecificationGoogle Gemini 3.5 FlashMiniMax M2.7
MakerGoogleMiniMax
WeightsNo public weights listedOpen weights
ReleasedMay 19, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$1.50$0.30
Output $/Mtok$9.00$1.20
Coding index39.836.2
Independent measurements behind it43
Cost per solved task$1.21$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than MiniMax M2.7 for coding?

Pick Gemini 3.5 Flash for coding: it scores 39.8 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 7.5x cheaper ($1.20 vs $9.00 per million) and a lower cost per solved task ($0.64 against $1.21).

Which is cheaper, Gemini 3.5 Flash or MiniMax M2.7?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Gemini 3.5 Flash costs $1.21 and MiniMax M2.7 $0.64.

Which has the bigger context window, Gemini 3.5 Flash or MiniMax M2.7?

Gemini 3.5 Flash, with 1.05M tokens against 205K.

How many benchmarks is the Gemini 3.5 Flash vs MiniMax M2.7 comparison based on?

68 benchmarks have a result for both models as of October 22, 2026. Gemini 3.5 Flash's coding index rests on 4 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-3-5-flash-vs-minimax-minimax-m2-7">LLMBenchmark.ai, Gemini 3.5 Flash vs MiniMax M2.7</a></p>