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Gemini 3.8 Flash vs MiniMax M2.7

Gemini 3.8 Flash leads MiniMax M2.7 on coding, 61.6 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 3.1x less per output token ($1.20 vs $3.75 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Gemini 3.8 FlashGoogle
Coding
61.6
Overall
69.0
Output $/M
$3.75
66
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
0
vs boards won of 66 shared

Gemini 3.8 Flash or MiniMax M2.7: which to pick

Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 36.2 for MiniMax M2.7.

Pick MiniMax M2.7 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.64 against $2.74).

Shared results
66
Gemini 3.8 Flash only
62
MiniMax M2.7 only
8
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 3.8 Flash 61.6 from 6 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category
Agentic work, 31.2 points apart on average over 5 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.8 Flash 78.7% against MiniMax M2.7 11.9%, 66.7 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $3.75 against MiniMax M2.7 $1.20 per million output tokens, 3.1x apart.
Context window
Gemini 3.8 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 3.8 FlashBarsMiniMax M2.7Ties
Coding150
Intelligence20
Agentic work50
Reasoning60
Math30
Knowledge80
Web design80
General190
All shared boards660
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
Coding benchmarks for Gemini 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
LiveBench coding82.2%Not measuredOnly Gemini 3.8 Flash measured
LMArena WebDev15851399Gemini 3.8 Flash
AA Coding Index76.352.6Gemini 3.8 Flash
LiveCodeBench (Vals AI)89.5%79.9%Gemini 3.8 Flash
SWE-bench Verified (Vals AI)80.0%73.8%Gemini 3.8 Flash
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench (Vals AI)78.7%11.9%Gemini 3.8 Flash
Code migration (Vals AI)36.5%8.7%Gemini 3.8 Flash
ProgramBench (Vals AI)1.0%0.0%Gemini 3.8 Flash
IOI (Vals AI)56.9%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench 2.1 (Vals AI)81.3%48.7%Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)40.8%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
SkillsBench (Vals AI)58.0%Not measuredOnly Gemini 3.8 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.8 Flash measured
SciCode56.6%50.1%Gemini 3.8 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured39.4%Only MiniMax M2.7 measured
Terminal-BenchNot measured45.1%Only MiniMax M2.7 measured
FrontierCode41.2%Not measuredOnly Gemini 3.8 Flash measured
FrontierSWE19.6%Not measuredOnly Gemini 3.8 Flash measured
WeirdML84.8%37.0%Gemini 3.8 Flash
ALE-Bench1269.7599.3Gemini 3.8 Flash
LMArena Text: coding15081454Gemini 3.8 Flash
LMArena Text: software and IT15071446Gemini 3.8 Flash
LMArena WebDev: React15771388Gemini 3.8 Flash
LMArena WebDev: HTML16161401Gemini 3.8 Flash
LMArena WebDev: from an image1593Not measuredOnly Gemini 3.8 Flash measured
SciCode12.3%Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
AA Intelligence Index40.922.8Gemini 3.8 Flash
Epoch Capabilities Index157.4145.8Gemini 3.8 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for Gemini 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
AA Agentic Index40.215.3Gemini 3.8 Flash
Design Arena: agents building web apps1238Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building full-stack apps1244Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building mobile apps1236Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Android apps1078Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Godot games1273Not measuredOnly Gemini 3.8 Flash measured
Design Arena: PowerPoint slides1153Not measuredOnly Gemini 3.8 Flash measured
Design Arena: spreadsheets1022Not measuredOnly Gemini 3.8 Flash measured
LiveBench research79.1%Not measuredOnly Gemini 3.8 Flash measured
LiveBench browser64.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench long agentic30.1%Not measuredOnly Gemini 3.8 Flash measured
SREBench (Vals AI)11.1%Not measuredOnly Gemini 3.8 Flash measured
Finance Agent (Vals AI)61.4%27.9%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%6.9%Gemini 3.8 Flash
Legal Research Bench (Vals AI)38.9%10.6%Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)12.1%Not measuredOnly Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)72.2%28.4%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)8.6%Not measuredOnly Gemini 3.8 Flash measured
Vals Science Index35.8%Not measuredOnly Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
CUA-bench (Vals AI)4.2%Not measuredOnly Gemini 3.8 Flash measured
τ²-Bench TelecomNot measured84.8%Only MiniMax M2.7 measured
APEX-Agents64.3%Not measuredOnly Gemini 3.8 Flash measured
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
Vending-Bench 2$5,094Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 15 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
GPQA Diamond94.4%86.6%Gemini 3.8 Flash
LiveBench reasoning89.3%Not measuredOnly Gemini 3.8 Flash measured
MysteryMechanism (Vals AI)36.5%Not measuredOnly Gemini 3.8 Flash measured
MMMU Pro (Vals AI)89.1%Not measuredOnly Gemini 3.8 Flash measured
GPQA Diamond (Artificial Analysis run)95.3%87.4%Gemini 3.8 Flash
Humanity's Last Exam (Artificial Analysis run)47.8%29.6%Gemini 3.8 Flash
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI98.5%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI-289.2%Not measuredOnly Gemini 3.8 Flash measured
Chess puzzles58.0%Not measuredOnly Gemini 3.8 Flash measured
Mystery game puzzles47.0%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: hard prompts15091422Gemini 3.8 Flash
LMArena Text: expert15261443Gemini 3.8 Flash
LMArena Text: hard prompts in English15041441Gemini 3.8 Flash
LMArena Vision: diagrams1345Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: homework1351Not measuredOnly Gemini 3.8 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 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
AIMENot measured91.0%Only MiniMax M2.7 measured
OTIS Mock AIME98.9%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tiers 1 to 368.4%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.8 Flash measured
ProofBench48.0%3.0%Gemini 3.8 Flash
LMArena Text: math15321421Gemini 3.8 Flash
LMArena Text: mathematical work15191437Gemini 3.8 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index80
Knowledge benchmarks for Gemini 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
MMLU Pro90.2%80.4%Gemini 3.8 Flash
LegalBench (Vals AI)87.0%84.0%Gemini 3.8 Flash
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)74.5%66.6%Gemini 3.8 Flash
MortgageTax (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
MedCode (Vals AI)48.1%34.4%Gemini 3.8 Flash
SimpleQA Verified69.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: science15231416Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081409Gemini 3.8 Flash
LMArena Text: legal and government14971403Gemini 3.8 Flash
LMArena Text: business and finance14791407Gemini 3.8 Flash
FACTS Benchmark Suite69.4%Not measuredOnly Gemini 3.8 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 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
Design Arena: websites13001243Gemini 3.8 Flash
Design Arena: UI components13161210Gemini 3.8 Flash
Design Arena: game dev13041209Gemini 3.8 Flash
Design Arena: data viz12701233Gemini 3.8 Flash
Design Arena: 3D12941195Gemini 3.8 Flash
Design Arena: all code categories13031233Gemini 3.8 Flash
Design Arena: SVG12961137Gemini 3.8 Flash
Design Arena: ASCII art12621136Gemini 3.8 Flash
LiveBench design72.7%Not measuredOnly Gemini 3.8 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for Gemini 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 FlashMiniMax M2.7Leader
Vals Index56.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench data analysis54.0%Not measuredOnly Gemini 3.8 Flash measured
Public Benefits Bench (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
SAGE (Vals AI)35.1%Not measuredOnly Gemini 3.8 Flash measured
MedScribe (Vals AI)84.5%79.9%Gemini 3.8 Flash
IFBenchNot measured75.7%Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)84.0%78.3%Gemini 3.8 Flash
DTBench95.7%Not measuredOnly Gemini 3.8 Flash measured
LMCA52.9%Not measuredOnly Gemini 3.8 Flash measured
Surface Evolver Bench76.9%Not measuredOnly Gemini 3.8 Flash measured
Furniture assembly31.7%Not measuredOnly Gemini 3.8 Flash measured
ExploitBenchNot measured13.3%Only MiniMax M2.7 measured
LMArena Text14991405Gemini 3.8 Flash
LMArena Text: instruction following14921405Gemini 3.8 Flash
LMArena Text: creative writing14881354Gemini 3.8 Flash
LMArena Vision1315Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: English14981426Gemini 3.8 Flash
LMArena Text: non-English14911382Gemini 3.8 Flash
LMArena Text: Chinese15531442Gemini 3.8 Flash
LMArena Text: German15011398Gemini 3.8 Flash
LMArena Text: Japanese15071260Gemini 3.8 Flash
LMArena Text: Korean14641314Gemini 3.8 Flash
LMArena Text: French14961424Gemini 3.8 Flash
LMArena Text: Spanish14871402Gemini 3.8 Flash
LMArena Text: Russian15141383Gemini 3.8 Flash
LMArena Text: Polish14971387Gemini 3.8 Flash
LMArena Text: multi-turn15031412Gemini 3.8 Flash
LMArena Text: longer queries15071418Gemini 3.8 Flash
LMArena Text: writing and language14941376Gemini 3.8 Flash
LMArena Text: entertainment and media14801360Gemini 3.8 Flash
LMArena Vision: English1318Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: Chinese1416Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: reading text1333Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: creative writing1299Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.8 Flash and MiniMax M2.7
BenchmarkGemini 3.8 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 3.8 Flash$0.0026Fits in one request
MiniMax M2.7$0.0009Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.049Fits in one request
MiniMax M2.7$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.188Fits 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 3.8 Flash and MiniMax M2.7
SpecificationGoogle Gemini 3.8 FlashMiniMax M2.7
MakerGoogleMiniMax
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026March 18, 2026
Context window1.05M205K
Input $/Mtok$0.75$0.30
Output $/Mtok$3.75$1.20
Coding index61.636.2
Independent measurements behind it63
Cost per solved task$2.74$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than MiniMax M2.7 for coding?

Pick Gemini 3.8 Flash for coding: it scores 61.6 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.64 against $2.74).

Which is cheaper, Gemini 3.8 Flash or MiniMax M2.7?

Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and MiniMax M2.7 $0.64.

Which has the bigger context window, Gemini 3.8 Flash or MiniMax M2.7?

Gemini 3.8 Flash, with 1.05M tokens against 205K.

How many benchmarks is the Gemini 3.8 Flash vs MiniMax M2.7 comparison based on?

66 benchmarks have a result for both models as of October 22, 2026. Gemini 3.8 Flash's coding index rests on 6 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-3-8-flash-vs-minimax-minimax-m2-7">LLMBenchmark.ai, Gemini 3.8 Flash vs MiniMax M2.7</a></p>