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Gemini 3.5 Flash vs MiniMax M3.1 Flash

MiniMax M3.1 Flash leads Gemini 3.5 Flash on coding, 59.0 to 39.8 on the Vibe Coding Index, and MiniMax M3.1 Flash costs 15.0x less per output token ($0.60 vs $9.00 per million). Updated October 22, 2026; 11 benchmarks have a result for both.

Gemini 3.5 FlashGoogle
Coding
39.8
Overall
63.8
Output $/M
$9.00
1
MiniMax M3.1 FlashMiniMax
Coding
59.0
Overall
60.6
Output $/M
$0.60
10
vs boards won of 11 shared

Gemini 3.5 Flash or MiniMax M3.1 Flash: which to pick

Pick MiniMax M3.1 Flash for coding: it scores 59.0 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash.

Pick Gemini 3.5 Flash for a larger context window (1.05M against 1M tokens) and work measured by SciCode, where it leads.

Shared results
11
Gemini 3.5 Flash only
104
MiniMax M3.1 Flash only
9
Like-for-like categories
5 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 M3.1 Flash 59.0 from 4 benchmarks.
Widest category
Coding, 13.8 points apart on average over 6 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Gemini 3.5 Flash 6.1% against MiniMax M3.1 Flash 25.3%, 25.6 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash $9.00 against MiniMax M3.1 Flash $0.60 per million output tokens, 15.0x apart.
Context window
Gemini 3.5 Flash takes 1.05M tokens, MiniMax M3.1 Flash 1M.

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 M3.1 FlashTies
Coding15
Intelligence01
Agentic work02
Reasoning01
General01
All shared boards110
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
LiveBench codingNot measured83.9%Only MiniMax M3.1 Flash measured
LMArena WebDev14991587MiniMax M3.1 Flash
LiveCodeBench (Vals AI)87.6%Not measuredOnly Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)78.8%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)6.1%25.3%MiniMax M3.1 Flash
Vibe Code Bench (Vals AI)48.7%73.9%MiniMax M3.1 Flash
Code migration (Vals AI)26.8%Not measuredOnly Gemini 3.5 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)74.2%Not measuredOnly Gemini 3.5 Flash measured
SkillsBench (Vals AI)52.7%Not measuredOnly Gemini 3.5 Flash measured
SciCode53.9%53.4%Gemini 3.5 Flash
Terminal-Bench Hard (Artificial Analysis run)46.2%Not measuredOnly Gemini 3.5 Flash measured
WeirdML62.6%Not measuredOnly Gemini 3.5 Flash measured
ALE-Bench911.0Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: coding1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: software and IT1494Not measuredOnly Gemini 3.5 Flash measured
LMArena WebDev: React14951609MiniMax M3.1 Flash
LMArena WebDev: HTML15221529MiniMax M3.1 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 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
AA Intelligence Index33.642.7MiniMax M3.1 Flash
Epoch Capabilities Index154.9Not measuredOnly Gemini 3.5 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
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 apps1175Not measuredOnly Gemini 3.5 Flash measured
Design Arena: agents building Android apps1184Not 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 slides1082Not measuredOnly Gemini 3.5 Flash measured
Design Arena: PowerPoint slides1153Not measuredOnly Gemini 3.5 Flash measured
LiveBench researchNot measured72.7%Only MiniMax M3.1 Flash measured
LiveBench browserNot measured92.0%Only MiniMax M3.1 Flash measured
LiveBench long agenticNot measured34.7%Only MiniMax M3.1 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)21.6%32.1%MiniMax M3.1 Flash
Legal Research Bench (Vals AI)30.8%34.1%MiniMax M3.1 Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured7.5%Only MiniMax M3.1 Flash measured
Excel Modeling Benchmark (Vals AI)63.5%Not measuredOnly Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Gemini 3.5 Flash measured
τ²-Bench Telecom95.6%Not measuredOnly Gemini 3.5 Flash measured
APEX-Agents27.5%Not measuredOnly Gemini 3.5 Flash measured
Vending-Bench 2$5,396Not measuredOnly Gemini 3.5 Flash measured
MCP Atlas83.6%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
GPQA Diamond92.7%Not measuredOnly Gemini 3.5 Flash measured
LiveBench reasoningNot measured82.9%Only MiniMax M3.1 Flash measured
MMMU Pro (Vals AI)88.3%Not measuredOnly Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)92.2%Not measuredOnly Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)42.7%48.0%MiniMax M3.1 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 prompts1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: expert1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: hard prompts in English1483Not measuredOnly Gemini 3.5 Flash measured
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
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
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%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: math1504Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: mathematical work1495Not measuredOnly Gemini 3.5 Flash measured
MathArena24.7%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
MMLU Pro89.5%Not measuredOnly Gemini 3.5 Flash measured
LegalBench (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash measured
CorpFin (Vals AI)64.7%Not measuredOnly Gemini 3.5 Flash measured
TaxEval (Vals AI)74.4%Not measuredOnly Gemini 3.5 Flash measured
MortgageTax (Vals AI)68.1%Not measuredOnly Gemini 3.5 Flash measured
MedCode (Vals AI)55.8%Not measuredOnly Gemini 3.5 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: science1495Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: medicine and healthcare1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: legal and government1488Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: business and finance1467Not measuredOnly Gemini 3.5 Flash measured
FACTS Benchmark Suite63.1%Not measuredOnly Gemini 3.5 Flash measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
Design Arena: websites1267Not measuredOnly Gemini 3.5 Flash measured
Design Arena: UI components1270Not measuredOnly Gemini 3.5 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.5 Flash measured
Design Arena: data viz1237Not measuredOnly Gemini 3.5 Flash measured
Design Arena: 3D1243Not measuredOnly Gemini 3.5 Flash measured
Design Arena: all code categories1266Not measuredOnly Gemini 3.5 Flash measured
Design Arena: SVG1253Not measuredOnly Gemini 3.5 Flash measured
Design Arena: ASCII art1254Not measuredOnly Gemini 3.5 Flash measured
LiveBench designNot measured74.0%Only MiniMax M3.1 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Gemini 3.5 Flash and MiniMax M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
Vals IndexNot measured53.8%Only MiniMax M3.1 Flash measured
LiveBench data analysisNot measured71.4%Only MiniMax M3.1 Flash measured
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%Not measuredOnly Gemini 3.5 Flash measured
Vals Multimodal Index62.9%Not measuredOnly Gemini 3.5 Flash measured
IFBench76.3%Not measuredOnly Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)74.3%79.7%MiniMax M3.1 Flash
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
LMArena Text1482Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: instruction following1467Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: creative writing1470Not measuredOnly Gemini 3.5 Flash measured
LMArena Vision1308Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: English1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: non-English1475Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Chinese1527Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: German1494Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Japanese1486Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Korean1448Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: French1490Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Spanish1480Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Russian1493Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: Polish1516Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: multi-turn1481Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: longer queries1483Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: writing and language1478Not measuredOnly Gemini 3.5 Flash measured
LMArena Text: entertainment and media1459Not measuredOnly Gemini 3.5 Flash measured
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
EQ-Bench 41087Not 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 M3.1 Flash
BenchmarkGemini 3.5 FlashMiniMax M3.1 FlashLeader
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 M3.1 Flash$0.0004Fits in one request

MiniMax M3.1 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash$0.102Fits in one request
MiniMax M3.1 Flash$0.0093Fits in one request

MiniMax M3.1 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash$0.390Fits in one request
MiniMax M3.1 Flash$0.036Fits in one request

MiniMax M3.1 Flash 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 M3.1 Flash
SpecificationGoogle Gemini 3.5 FlashMiniMax M3.1 Flash
MakerGoogleMiniMax
WeightsNo public weights listedNo public weights listed
ReleasedMay 19, 2026October 19, 2026
Context window1.05M1M
Input $/Mtok$1.50$0.15
Output $/Mtok$9.00$0.60
Coding index39.859.0
Independent measurements behind it44
Cost per solved task$1.21Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash better than MiniMax M3.1 Flash for coding?

Pick MiniMax M3.1 Flash for coding: it scores 59.0 on the Vibe Coding Index against 39.8 for Gemini 3.5 Flash. Pick Gemini 3.5 Flash for a larger context window (1.05M against 1M tokens) and work measured by SciCode, where it leads.

Which is cheaper, Gemini 3.5 Flash or MiniMax M3.1 Flash?

Gemini 3.5 Flash costs $1.50 per million input tokens and $9.00 per million output tokens; MiniMax M3.1 Flash costs $0.15 and $0.60. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Gemini 3.5 Flash or MiniMax M3.1 Flash?

Gemini 3.5 Flash, with 1.05M tokens against 1M.

How many benchmarks is the Gemini 3.5 Flash vs MiniMax M3.1 Flash comparison based on?

11 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 M3.1 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-5-flash-vs-minimax-minimax-m3-1-flash" title="Gemini 3.5 Flash vs MiniMax M3.1 Flash, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<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-m3-1-flash">LLMBenchmark.ai, Gemini 3.5 Flash vs MiniMax M3.1 Flash</a></p>