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Gemini 3.7 Flash vs MiniMax M3

Gemini 3.7 Flash leads MiniMax M3 on coding, 58.0 to 39.2 on the Vibe Coding Index, and MiniMax M3 costs 3.1x less per output token ($1.20 vs $3.75 per million). Updated October 22, 2026; 99 benchmarks have a result for both.

Replace Gemini 3.7 Flash Replace MiniMax M3
Gemini 3.7 FlashGoogle
Coding
58.0
Overall
65.7
Output $/M
$3.75
93
MiniMax M3MiniMax
Coding
39.2
Overall
51.7
Output $/M
$1.20
5
vs boards won of 99 shared, 1 tied

Gemini 3.7 Flash or MiniMax M3: which to pick

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 39.2 for MiniMax M3.

Pick MiniMax M3 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.56 against $1.78).

Model AGemini 3.7 FlashGoogle58.0/1006 independent benchmarks$1.78 per solved taskModel BMiniMax M3MiniMax39.2/1006 independent benchmarks$0.56 per solved task
Shared results
99
Gemini 3.7 Flash only
15
MiniMax M3 only
17
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 3.7 Flash 58.0 from 6 benchmarks, MiniMax M3 39.2 from 6 benchmarks.
Widest category
Math, 22.2 points apart on average over 4 shared benchmarks.
Widest single gap
Chess puzzles: Gemini 3.7 Flash 66.0% against MiniMax M3 13.0%, 53.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.7 Flash $3.75 against MiniMax M3 $1.20 per million output tokens, 3.1x 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 3.7 FlashBarsMiniMax M3Ties
Coding181
Intelligence20
Agentic work140
Reasoning130
Math40
Knowledge81
Web design90
General2531 tie
All shared boards9351 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index181
Coding benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
LiveBench coding80.5%70.9%Gemini 3.7 Flash
LMArena WebDev15911482Gemini 3.7 Flash
AA Coding Index71.558.6Gemini 3.7 Flash
LiveCodeBench (Vals AI)88.7%82.2%Gemini 3.7 Flash
SWE-bench Verified (Vals AI)80.8%75.0%Gemini 3.7 Flash
Terminal-Bench 4 (Vals AI)12.1%1.0%Gemini 3.7 Flash
Vibe Code Bench (Vals AI)70.4%47.6%Gemini 3.7 Flash
Code migration (Vals AI)34.8%19.9%Gemini 3.7 Flash
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.7 Flash measured
IOI (Vals AI)67.8%Not measuredOnly Gemini 3.7 Flash measured
Terminal-Bench 2.1 (Vals AI)77.5%53.6%Gemini 3.7 Flash
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)65.9%51.5%Gemini 3.7 Flash
CyberBench (Vals AI)43.8%65.0%MiniMax M3
SciCode59.8%47.1%Gemini 3.7 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured42.4%Only MiniMax M3 measured
FrontierCode43.6%14.7%Gemini 3.7 Flash
FrontierSWE20.3%Not measuredOnly Gemini 3.7 Flash measured
ALE-Bench904.3640.0Gemini 3.7 Flash
LMArena Text: coding14991470Gemini 3.7 Flash
LMArena Text: software and IT14981466Gemini 3.7 Flash
LMArena WebDev: React15871478Gemini 3.7 Flash
LMArena WebDev: HTML15931455Gemini 3.7 Flash
LMArena WebDev: from an image15991470Gemini 3.7 Flash
SciCode13.8%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
AA Intelligence Index39.629.2Gemini 3.7 Flash
Epoch Capabilities Index158.0146.9Gemini 3.7 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index140
Agentic work benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
AA Agentic IndexNot measured29.5Only MiniMax M3 measured
Design Arena: agents building web apps12231200Gemini 3.7 Flash
Design Arena: agents building full-stack apps12081197Gemini 3.7 Flash
Design Arena: agents building mobile apps12291169Gemini 3.7 Flash
Design Arena: agents building Android apps12431159Gemini 3.7 Flash
Design Arena: agents building Godot games1264Not measuredOnly Gemini 3.7 Flash measured
Design Arena: agents building games12351158Gemini 3.7 Flash
Design Arena: HTML slidesNot measured1130Only MiniMax M3 measured
Design Arena: PowerPoint slidesNot measured1181Only MiniMax M3 measured
Design Arena: spreadsheets10581028Gemini 3.7 Flash
LiveBench research76.5%68.0%Gemini 3.7 Flash
LiveBench browser56.0%8.0%Gemini 3.7 Flash
LiveBench long agentic28.3%12.4%Gemini 3.7 Flash
SREBench (Vals AI)4.6%Not measuredOnly Gemini 3.7 Flash measured
Finance Agent (Vals AI)59.0%48.3%Gemini 3.7 Flash
Tax Agent Bench (Vals AI)22.8%20.6%Gemini 3.7 Flash
Legal Research Bench (Vals AI)34.6%29.8%Gemini 3.7 Flash
Excel Modeling Benchmark (Vals AI)71.3%47.8%Gemini 3.7 Flash
Terminal-Bench-Science (Vals AI)7.1%Not measuredOnly Gemini 3.7 Flash measured
τ²-Bench TelecomNot measured88.9%Only MiniMax M3 measured
APEX-Agents67.8%37.7%Gemini 3.7 Flash
Remote Labor Index5.0%Not measuredOnly Gemini 3.7 Flash measured
OSWorld 2.0Not measured4.6%Only MiniMax M3 measured
Vending-Bench 2Not measured$2,158Only MiniMax M3 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index130
Reasoning benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
GPQA Diamond93.9%92.7%Gemini 3.7 Flash
LiveBench reasoning87.8%74.5%Gemini 3.7 Flash
MMMU Pro (Vals AI)89.0%81.2%Gemini 3.7 Flash
GPQA Diamond (Artificial Analysis run)94.5%92.9%Gemini 3.7 Flash
Humanity's Last Exam (Artificial Analysis run)47.9%39.0%Gemini 3.7 Flash
GPQA Diamond (Epoch AI run)94.8%90.9%Gemini 3.7 Flash
ARC-AGI95.5%Not measuredOnly Gemini 3.7 Flash measured
ARC-AGI-284.6%Not measuredOnly Gemini 3.7 Flash measured
SimpleBenchNot measured45.8%Only MiniMax M3 measured
Chess puzzles66.0%13.0%Gemini 3.7 Flash
Mystery game puzzles37.0%8.0%Gemini 3.7 Flash
LMArena Text: hard prompts14951447Gemini 3.7 Flash
LMArena Text: expert15121461Gemini 3.7 Flash
LMArena Text: hard prompts in English14871455Gemini 3.7 Flash
LMArena Vision: diagrams13291266Gemini 3.7 Flash
LMArena Vision: homework13201268Gemini 3.7 Flash
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
OTIS Mock AIME97.2%71.1%Gemini 3.7 Flash
FrontierMath, tiers 1 to 371.6%Not measuredOnly Gemini 3.7 Flash measured
FrontierMath, tier 436.6%Not measuredOnly Gemini 3.7 Flash measured
ProofBench58.0%18.0%Gemini 3.7 Flash
LMArena Text: math15111429Gemini 3.7 Flash
LMArena Text: mathematical work15021448Gemini 3.7 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index81
Knowledge benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
MMLU Pro90.1%84.2%Gemini 3.7 Flash
LegalBench (Vals AI)87.3%85.4%Gemini 3.7 Flash
CorpFin (Vals AI)Not measured68.1%Only MiniMax M3 measured
TaxEval (Vals AI)74.7%72.7%Gemini 3.7 Flash
MortgageTax (Vals AI)66.7%68.4%MiniMax M3
MedCode (Vals AI)53.4%46.3%Gemini 3.7 Flash
SimpleQA Verified69.2%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text: science15111452Gemini 3.7 Flash
LMArena Text: medicine and healthcare14941441Gemini 3.7 Flash
LMArena Text: legal and government14961437Gemini 3.7 Flash
LMArena Text: business and finance14791434Gemini 3.7 Flash
FACTS Benchmark Suite71.2%Not measuredOnly Gemini 3.7 Flash measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
Design Arena: websites13031257Gemini 3.7 Flash
Design Arena: UI components12961242Gemini 3.7 Flash
Design Arena: game dev13171210Gemini 3.7 Flash
Design Arena: data viz13151236Gemini 3.7 Flash
Design Arena: 3D13071208Gemini 3.7 Flash
Design Arena: all code categories13081247Gemini 3.7 Flash
Design Arena: SVG12831161Gemini 3.7 Flash
Design Arena: ASCII art12761161Gemini 3.7 Flash
LiveBench design73.2%66.2%Gemini 3.7 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index253
General benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax M3Leader
LiveBench data analysis68.0%76.2%MiniMax M3
Public Benefits Bench (Vals AI)Not measured64.1%Only MiniMax M3 measured
SAGE (Vals AI)49.2%50.6%MiniMax M3
MedScribe (Vals AI)83.9%87.3%MiniMax M3
Vals Multimodal IndexNot measured60.0%Only MiniMax M3 measured
IFBenchNot measured82.9%Only MiniMax M3 measured
Long context reasoning (AA-LCR)83.0%83.0%Tie
DTBench96.8%78.9%Gemini 3.7 Flash
LMCA50.4%33.7%Gemini 3.7 Flash
Surface Evolver BenchNot measured55.0%Only MiniMax M3 measured
Furniture assembly26.7%Not measuredOnly Gemini 3.7 Flash measured
LMArena Text14891433Gemini 3.7 Flash
LMArena Text: instruction following14841433Gemini 3.7 Flash
LMArena Text: creative writing14881404Gemini 3.7 Flash
LMArena Vision13141251Gemini 3.7 Flash
LMArena Text: English14831443Gemini 3.7 Flash
LMArena Text: non-English14871420Gemini 3.7 Flash
LMArena Text: Chinese15521466Gemini 3.7 Flash
LMArena Text: German15061428Gemini 3.7 Flash
LMArena Text: Japanese15111380Gemini 3.7 Flash
LMArena Text: Korean14811373Gemini 3.7 Flash
LMArena Text: French15001444Gemini 3.7 Flash
LMArena Text: Spanish14951433Gemini 3.7 Flash
LMArena Text: Russian15151426Gemini 3.7 Flash
LMArena Text: Polish15031423Gemini 3.7 Flash
LMArena Text: multi-turn14851443Gemini 3.7 Flash
LMArena Text: longer queries14921446Gemini 3.7 Flash
LMArena Text: writing and language14911419Gemini 3.7 Flash
LMArena Text: entertainment and media14771403Gemini 3.7 Flash
LMArena Vision: English13091263Gemini 3.7 Flash
LMArena Vision: Chinese13941311Gemini 3.7 Flash
LMArena Vision: reading text13221259Gemini 3.7 Flash
LMArena Vision: humor12991235Gemini 3.7 Flash
LMArena Vision: recognizing thingsNot measured1197Only MiniMax M3 measured
LMArena Vision: creative writing13121234Gemini 3.7 Flash
LMArena DocumentNot measured1435Only MiniMax M3 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.7 Flash and MiniMax M3
BenchmarkGemini 3.7 FlashMiniMax 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 3.7 Flash$0.0026Fits in one request
MiniMax M3$0.0009Fits in one request

MiniMax M3 costs less

Repository review

50K input + 3K output tokens

Gemini 3.7 Flash$0.049Fits in one request
MiniMax M3$0.019Fits in one request

MiniMax M3 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.7 Flash$0.188Fits 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 3.7 Flash and MiniMax M3
SpecificationGoogle Gemini 3.7 FlashMiniMax M3
MakerGoogleMiniMax
WeightsNo public weights listedOpen weights
ReleasedAugust 13, 2026May 31, 2026
Context window1.05M1.05M
Input $/Mtok$0.75$0.30
Output $/Mtok$3.75$1.20
Coding index58.039.2
Independent measurements behind it66
Cost per solved task$1.78$0.56
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.7 Flash better than MiniMax M3 for coding?

Pick Gemini 3.7 Flash for coding: it scores 58.0 on the Vibe Coding Index against 39.2 for MiniMax M3. Pick MiniMax M3 for output tokens 3.1x cheaper ($1.20 vs $3.75 per million) and a lower cost per solved task ($0.56 against $1.78).

Which is cheaper, Gemini 3.7 Flash or MiniMax M3?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; MiniMax M3 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Gemini 3.7 Flash costs $1.78 and MiniMax M3 $0.56.

Which has the bigger context window, Gemini 3.7 Flash or MiniMax M3?

Neither: both take 1.05M tokens.

How many benchmarks is the Gemini 3.7 Flash vs MiniMax M3 comparison based on?

99 benchmarks have a result for both models as of October 22, 2026. Gemini 3.7 Flash's coding index rests on 6 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-7-flash-vs-minimax-minimax-m3">LLMBenchmark.ai, Gemini 3.7 Flash vs MiniMax M3</a></p>