Gemini 3.6 Flash vs MiniMax M2.7

Gemini 3.6 Flash leads MiniMax M2.7 on coding, 62.5 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.

Replace Gemini 3.6 Flash Replace MiniMax M2.7

Gemini 3.6 FlashGoogle

Coding: 62.5
Overall: 68.3
Output $/M: $3.75

MiniMax M2.7MiniMax

Coding: 36.2
Overall: 44.5
Output $/M: $1.20

vs boards won of 66 shared, 1 tied

Gemini 3.6 Flash or MiniMax M2.7: which to pick

Pick Gemini 3.6 Flash for coding: it scores 62.5 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 $1.49).

Model AGemini 3.6 FlashGoogle62.5/1004 independent benchmarks$1.49 per solved task Model BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task

66438

Shared results: 66
Gemini 3.6 Flash only: 43
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.

Coding
Vibe Coding Index, six public coding benchmarks
Gemini 3.6 Flash
Gemini 3.6 Flash scores 62.5 against 36.2.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 34.0 against 22.8.
Same board, both measured
Agentic work
AA Agentic Index
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 29.0 against 15.3.
Same board, both measured
Reasoning
GPQA Diamond
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 93.4% against 86.6%.
Same board, both measured
Math
AIME
No call
Only MiniMax M2.7 has a AIME result, 91.0%.
Directional only
Knowledge
MMLU Pro
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 89.3% against 80.4%.
Same board, both measured
Web design
Design Arena: websites
Gemini 3.6 Flash
Gemini 3.6 Flash leads, 1300 against 1243.
Same board, both measured
Long documents
Listed context window
Gemini 3.6 Flash
Gemini 3.6 Flash takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.7
Gemini 3.6 Flash $0.0026, MiniMax M2.7 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M2.7
Gemini 3.6 Flash $1.49, MiniMax M2.7 $0.64.
Published attempt cost and pass rate

At a glance

Coding index: Gemini 3.6 Flash 62.5 from 4 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category: Agentic work, 20.9 points apart on average over 5 shared benchmarks.
Widest single gap: Vibe Code Bench (Vals AI): Gemini 3.6 Flash 64.0% against MiniMax M2.7 11.9%, 52.1 points apart on a 0 to 100 scale.
Output price: Gemini 3.6 Flash $3.75 against MiniMax M2.7 $1.20 per million output tokens, 3.1x apart.
Context window: Gemini 3.6 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
Category	Gemini 3.6 Flash	MiniMax M2.7	Ties
Coding	14	0	1 tie
Intelligence	2	0
Agentic work	5	0
Reasoning	6	0
Math	3	0
Knowledge	9	0
Web design	7	0
General	18	1
All shared boards	64	1	1 tie

CodingLike-for-likeSix of these boards feed the Vibe Coding Index140

Coding benchmarks for Gemini 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
LMArena WebDev	1538	1399	Gemini 3.6 Flash
AA Coding Index	69.2	52.6	Gemini 3.6 Flash
LiveCodeBench (Vals AI)	88.1%	79.9%	Gemini 3.6 Flash
SWE-bench Verified (Vals AI)	79.6%	73.8%	Gemini 3.6 Flash
Vibe Code Bench (Vals AI)	64.0%	11.9%	Gemini 3.6 Flash
Code migration (Vals AI)	30.9%	8.7%	Gemini 3.6 Flash
ProgramBench (Vals AI)	0.0%	0.0%	Tie
IOI (Vals AI)	35.1%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)	73.8%	48.7%	Gemini 3.6 Flash
CyberBench (Vals AI)	45.4%	Not measured	Only Gemini 3.6 Flash measured
SciCode	53.4%	50.1%	Gemini 3.6 Flash
Terminal-Bench Hard (Artificial Analysis run)	Not measured	39.4%	Only MiniMax M2.7 measured
Terminal-Bench	Not measured	45.1%	Only MiniMax M2.7 measured
FrontierCode	34.4%	Not measured	Only Gemini 3.6 Flash measured
WeirdML	56.1%	37.0%	Gemini 3.6 Flash
ALE-Bench	715.5	599.3	Gemini 3.6 Flash
LMArena Text: coding	1491	1454	Gemini 3.6 Flash
LMArena Text: software and IT	1492	1446	Gemini 3.6 Flash
LMArena WebDev: React	1528	1388	Gemini 3.6 Flash
LMArena WebDev: HTML	1547	1401	Gemini 3.6 Flash
LMArena WebDev: from an image	1545	Not measured	Only Gemini 3.6 Flash measured
SciCode	10.8%	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 17 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20

Intelligence benchmarks for Gemini 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
AA Intelligence Index	34.0	22.8	Gemini 3.6 Flash
Epoch Capabilities Index	154.5	145.8	Gemini 3.6 Flash

Agentic workLike-for-likePublic boards, shown as published, kept out of the index50

Agentic work benchmarks for Gemini 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
AA Agentic Index	29.0	15.3	Gemini 3.6 Flash
Design Arena: agents building web apps	1197	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps	1181	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building mobile apps	1198	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building Android apps	1204	Not measured	Only Gemini 3.6 Flash measured
Design Arena: agents building games	1180	Not measured	Only Gemini 3.6 Flash measured
Design Arena: HTML slides	1099	Not measured	Only Gemini 3.6 Flash measured
Design Arena: PowerPoint slides	1121	Not measured	Only Gemini 3.6 Flash measured
Design Arena: spreadsheets	1071	Not measured	Only Gemini 3.6 Flash measured
Finance Agent (Vals AI)	56.3%	27.9%	Gemini 3.6 Flash
Tax Agent Bench (Vals AI)	18.0%	6.9%	Gemini 3.6 Flash
Legal Research Bench (Vals AI)	25.0%	10.6%	Gemini 3.6 Flash
Excel Modeling Benchmark (Vals AI)	65.4%	28.4%	Gemini 3.6 Flash
BioMysteryBench (Vals AI)	58.5%	Not measured	Only Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)	4.3%	Not measured	Only Gemini 3.6 Flash measured
τ²-Bench Telecom	Not measured	84.8%	Only MiniMax M2.7 measured
APEX-Agents	46.9%	Not measured	Only Gemini 3.6 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 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
GPQA Diamond	93.4%	86.6%	Gemini 3.6 Flash
MMMU Pro (Vals AI)	88.4%	Not measured	Only Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)	92.8%	87.4%	Gemini 3.6 Flash
Humanity's Last Exam (Artificial Analysis run)	40.8%	29.6%	Gemini 3.6 Flash
GPQA Diamond (Epoch AI run)	94.1%	Not measured	Only Gemini 3.6 Flash measured
ARC-AGI	91.2%	Not measured	Only Gemini 3.6 Flash measured
ARC-AGI-2	60.4%	Not measured	Only Gemini 3.6 Flash measured
Chess puzzles	42.0%	Not measured	Only Gemini 3.6 Flash measured
Mystery game puzzles	30.0%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: hard prompts	1486	1422	Gemini 3.6 Flash
LMArena Text: expert	1490	1443	Gemini 3.6 Flash
LMArena Text: hard prompts in English	1484	1441	Gemini 3.6 Flash
LMArena Vision: diagrams	1314	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: homework	1314	Not measured	Only Gemini 3.6 Flash measured
Neither model has a result on the other 8 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index30

Math benchmarks for Gemini 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
AIME	Not measured	91.0%	Only MiniMax M2.7 measured
OTIS Mock AIME	94.2%	Not measured	Only Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 3	58.9%	Not measured	Only Gemini 3.6 Flash measured
FrontierMath, tier 4	22.0%	Not measured	Only Gemini 3.6 Flash measured
ProofBench	36.0%	3.0%	Gemini 3.6 Flash
LMArena Text: math	1508	1421	Gemini 3.6 Flash
LMArena Text: mathematical work	1492	1437	Gemini 3.6 Flash
Neither model has a result on the other 6 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90

Knowledge benchmarks for Gemini 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
MMLU Pro	89.3%	80.4%	Gemini 3.6 Flash
LegalBench (Vals AI)	86.7%	84.0%	Gemini 3.6 Flash
CaseLaw (Vals AI)	Not measured	60.9%	Only MiniMax M2.7 measured
CorpFin (Vals AI)	63.3%	61.2%	Gemini 3.6 Flash
TaxEval (Vals AI)	74.9%	66.6%	Gemini 3.6 Flash
MortgageTax (Vals AI)	67.6%	Not measured	Only Gemini 3.6 Flash measured
MedCode (Vals AI)	53.1%	34.4%	Gemini 3.6 Flash
SimpleQA Verified	66.2%	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: science	1489	1416	Gemini 3.6 Flash
LMArena Text: medicine and healthcare	1469	1409	Gemini 3.6 Flash
LMArena Text: legal and government	1479	1403	Gemini 3.6 Flash
LMArena Text: business and finance	1464	1407	Gemini 3.6 Flash
FACTS Benchmark Suite	65.3%	Not measured	Only Gemini 3.6 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 index70

Web design benchmarks for Gemini 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
Design Arena: websites	1300	1243	Gemini 3.6 Flash
Design Arena: UI components	1294	1210	Gemini 3.6 Flash
Design Arena: game dev	1263	1209	Gemini 3.6 Flash
Design Arena: data viz	1289	1233	Gemini 3.6 Flash
Design Arena: 3D	1271	1195	Gemini 3.6 Flash
Design Arena: all code categories	1289	1233	Gemini 3.6 Flash
Design Arena: SVG	Not measured	1137	Only MiniMax M2.7 measured
Design Arena: ASCII art	1281	1136	Gemini 3.6 Flash
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index181

General benchmarks for Gemini 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
Public Benefits Bench (Vals AI)	56.6%	Not measured	Only Gemini 3.6 Flash measured
SAGE (Vals AI)	48.7%	Not measured	Only Gemini 3.6 Flash measured
MedScribe (Vals AI)	79.7%	79.9%	MiniMax M2.7
Vals Multimodal Index	65.1%	Not measured	Only Gemini 3.6 Flash measured
IFBench	Not measured	75.7%	Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)	80.0%	78.3%	Gemini 3.6 Flash
DTBench	95.5%	Not measured	Only Gemini 3.6 Flash measured
LMCA	44.9%	Not measured	Only Gemini 3.6 Flash measured
Furniture assembly	23.3%	Not measured	Only Gemini 3.6 Flash measured
ExploitBench	Not measured	13.3%	Only MiniMax M2.7 measured
LMArena Text	1480	1405	Gemini 3.6 Flash
LMArena Text: instruction following	1467	1405	Gemini 3.6 Flash
LMArena Text: creative writing	1466	1354	Gemini 3.6 Flash
LMArena Vision	1299	Not measured	Only Gemini 3.6 Flash measured
LMArena Text: English	1482	1426	Gemini 3.6 Flash
LMArena Text: non-English	1470	1382	Gemini 3.6 Flash
LMArena Text: Chinese	1531	1442	Gemini 3.6 Flash
LMArena Text: German	1480	1398	Gemini 3.6 Flash
LMArena Text: Japanese	1475	1260	Gemini 3.6 Flash
LMArena Text: Korean	1429	1314	Gemini 3.6 Flash
LMArena Text: French	1503	1424	Gemini 3.6 Flash
LMArena Text: Spanish	1476	1402	Gemini 3.6 Flash
LMArena Text: Russian	1488	1383	Gemini 3.6 Flash
LMArena Text: Polish	1473	1387	Gemini 3.6 Flash
LMArena Text: multi-turn	1481	1412	Gemini 3.6 Flash
LMArena Text: longer queries	1475	1418	Gemini 3.6 Flash
LMArena Text: writing and language	1470	1376	Gemini 3.6 Flash
LMArena Text: entertainment and media	1456	1360	Gemini 3.6 Flash
LMArena Vision: English	1295	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: Chinese	1357	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: reading text	1312	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: humor	1289	Not measured	Only Gemini 3.6 Flash measured
LMArena Vision: creative writing	1278	Not measured	Only Gemini 3.6 Flash measured
LMArena Document	1456	Not measured	Only Gemini 3.6 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 3.6 Flash and MiniMax M2.7
Benchmark	Gemini 3.6 Flash	MiniMax M2.7	Leader
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 3.6 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 3.6 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 3.6 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 3.6 Flash and MiniMax M2.7
Specification	Google Gemini 3.6 Flash	MiniMax M2.7
Maker	Google	MiniMax
Weights	No public weights listed	Open weights
Released	July 21, 2026	March 18, 2026
Context window	1.05M	205K
Input $/Mtok	$0.75	$0.30
Output $/Mtok	$3.75	$1.20
Coding index	62.5	36.2
Independent measurements behind it	4	3
Cost per solved task	$1.49	$0.64
Source	OpenRouter listing	OpenRouter listing

Questions

Is Gemini 3.6 Flash better than MiniMax M2.7 for coding?

Pick Gemini 3.6 Flash for coding: it scores 62.5 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 $1.49).

Which is cheaper, Gemini 3.6 Flash or MiniMax M2.7?

Gemini 3.6 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 3.6 Flash costs $1.49 and MiniMax M2.7 $0.64.

Which has the bigger context window, Gemini 3.6 Flash or MiniMax M2.7?

Gemini 3.6 Flash, with 1.05M tokens against 205K.

How many benchmarks is the Gemini 3.6 Flash vs MiniMax M2.7 comparison based on?

66 benchmarks have a result for both models as of October 22, 2026. Gemini 3.6 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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-6-flash-vs-minimax-minimax-m2-7" title="Gemini 3.6 Flash vs MiniMax M2.7, 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-3-6-flash-vs-minimax-minimax-m2-7">LLMBenchmark.ai, Gemini 3.6 Flash vs MiniMax M2.7</a></p>

Gemini 3.6 Flash or MiniMax M2.7: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

Compare next