Ling 3.0 Flash vs MiniMax M2.7

MiniMax M2.7 leads Ling 3.0 Flash on coding, 36.2 to 29.6 on the Vibe Coding Index, and Ling 3.0 Flash costs 9.9x less per output token ($0.1215 vs $1.20 per million). Updated October 22, 2026; 22 benchmarks have a result for both.

Replace Ling 3.0 Flash Replace MiniMax M2.7

Ling 3.0 FlashinclusionAI

Coding: 29.6
Overall: No data
Output $/M: $0.1215

MiniMax M2.7MiniMax

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

vs boards won of 22 shared

Ling 3.0 Flash or MiniMax M2.7: which to pick

Pick MiniMax M2.7 for coding: it scores 36.2 on the Vibe Coding Index against 29.6 for Ling 3.0 Flash.

Pick Ling 3.0 Flash for output tokens 9.9x cheaper ($0.1215 vs $1.20 per million) and a lower cost per solved task ($0.05 against $0.64).

Model ALing 3.0 FlashinclusionAI29.6/1002 independent benchmarks$0.05 per solved task Model BMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task

22252

Shared results: 22
Ling 3.0 Flash only: 2
MiniMax M2.7 only: 52
Like-for-like categories: 6 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
MiniMax M2.7
MiniMax M2.7 scores 36.2 against 29.6.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M2.7
MiniMax M2.7 leads, 22.8 against 20.1.
Same board, both measured
Agentic work
AA Agentic Index
Ling 3.0 Flash
Ling 3.0 Flash leads, 19.3 against 15.3.
Same board, both measured
Reasoning
GPQA Diamond
MiniMax M2.7
MiniMax M2.7 leads, 86.6% against 84.8%.
Same board, both measured
Math
AIME
No call
Only MiniMax M2.7 has a AIME result, 91.0%.
Directional only
Knowledge
MMLU Pro
Ling 3.0 Flash
Ling 3.0 Flash leads, 82.0% against 80.4%.
Same board, both measured
Web design
Design Arena: websites
No call
Only MiniMax M2.7 has a Design Arena: websites result, 1242.
Directional only
Long documents
Listed context window
Ling 3.0 Flash
Ling 3.0 Flash takes 262K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ling 3.0 Flash
Ling 3.0 Flash $0.0001, MiniMax M2.7 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Ling 3.0 Flash
Ling 3.0 Flash $0.05, MiniMax M2.7 $0.64.
Published attempt cost and pass rate

At a glance

Coding index: Ling 3.0 Flash 29.6 from 2 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
Widest category: Coding, 6.0 points apart on average over 7 shared benchmarks.
Widest single gap: Legal Research Bench (Vals AI): Ling 3.0 Flash 0.0% against MiniMax M2.7 10.6%, 10.6 points apart on a 0 to 100 scale.
Output price: Ling 3.0 Flash $0.1215 against MiniMax M2.7 $1.20 per million output tokens, 9.9x apart.
Context window: Ling 3.0 Flash takes 262K 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	Ling 3.0 Flash	MiniMax M2.7
Coding	2	5
Intelligence	0	1
Agentic work	2	2
Reasoning	0	3
Knowledge	3	2
General	1	1
All shared boards	8	14

CodingLike-for-likeSix of these boards feed the Vibe Coding Index25

Coding benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
LMArena WebDev	Not measured	1399	Only MiniMax M2.7 measured
AA Coding Index	50.6	52.6	MiniMax M2.7
LiveCodeBench (Vals AI)	84.0%	79.9%	Ling 3.0 Flash
SWE-bench Verified (Vals AI)	65.2%	73.8%	MiniMax M2.7
Vibe Code Bench (Vals AI)	2.9%	11.9%	MiniMax M2.7
Code migration (Vals AI)	0.0%	8.7%	MiniMax M2.7
ProgramBench (Vals AI)	Not measured	0.0%	Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)	50.2%	48.7%	Ling 3.0 Flash
SkillsBench (Vals AI)	27.9%	Not measured	Only Ling 3.0 Flash measured
SciCode	42.0%	50.1%	MiniMax M2.7
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
WeirdML	Not measured	37.0%	Only MiniMax M2.7 measured
ALE-Bench	Not measured	599.3	Only MiniMax M2.7 measured
LMArena Text: coding	Not measured	1454	Only MiniMax M2.7 measured
LMArena Text: software and IT	Not measured	1446	Only MiniMax M2.7 measured
LMArena WebDev: React	Not measured	1388	Only MiniMax M2.7 measured
LMArena WebDev: HTML	Not measured	1401	Only MiniMax M2.7 measured
Neither model has a result on the other 25 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
AA Intelligence Index	20.1	22.8	MiniMax M2.7
Epoch Capabilities Index	Not measured	145.8	Only MiniMax M2.7 measured

Agentic workLike-for-likePublic boards, shown as published, kept out of the index22

Agentic work benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
AA Agentic Index	19.3	15.3	Ling 3.0 Flash
Finance Agent (Vals AI)	30.3%	27.9%	Ling 3.0 Flash
Tax Agent Bench (Vals AI)	Not measured	6.9%	Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)	0.0%	10.6%	MiniMax M2.7
Excel Modeling Benchmark (Vals AI)	25.0%	28.4%	MiniMax M2.7
τ²-Bench Telecom	Not measured	84.8%	Only MiniMax M2.7 measured
Neither model has a result on the other 36 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index03

Reasoning benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
GPQA Diamond	84.8%	86.6%	MiniMax M2.7
GPQA Diamond (Artificial Analysis run)	85.5%	87.4%	MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)	23.7%	29.6%	MiniMax M2.7
LMArena Text: hard prompts	Not measured	1422	Only MiniMax M2.7 measured
LMArena Text: expert	Not measured	1443	Only MiniMax M2.7 measured
LMArena Text: hard prompts in English	Not measured	1441	Only MiniMax M2.7 measured
Neither model has a result on the other 17 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared

Math benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
AIME	Not measured	91.0%	Only MiniMax M2.7 measured
ProofBench	Not measured	3.0%	Only MiniMax M2.7 measured
LMArena Text: math	Not measured	1421	Only MiniMax M2.7 measured
LMArena Text: mathematical work	Not measured	1437	Only MiniMax M2.7 measured
Neither model has a result on the other 10 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32

Knowledge benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
MMLU Pro	82.0%	80.4%	Ling 3.0 Flash
LegalBench (Vals AI)	79.7%	84.0%	MiniMax M2.7
CaseLaw (Vals AI)	Not measured	60.9%	Only MiniMax M2.7 measured
CorpFin (Vals AI)	61.9%	61.2%	Ling 3.0 Flash
TaxEval (Vals AI)	70.7%	66.6%	Ling 3.0 Flash
MedCode (Vals AI)	32.3%	34.4%	MiniMax M2.7
LMArena Text: science	Not measured	1416	Only MiniMax M2.7 measured
LMArena Text: medicine and healthcare	Not measured	1409	Only MiniMax M2.7 measured
LMArena Text: legal and government	Not measured	1403	Only MiniMax M2.7 measured
LMArena Text: business and finance	Not measured	1407	Only MiniMax M2.7 measured
Neither model has a result on the other 10 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared

Web design benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
Design Arena: websites	Not measured	1242	Only MiniMax M2.7 measured
Design Arena: UI components	Not measured	1207	Only MiniMax M2.7 measured
Design Arena: game dev	Not measured	1209	Only MiniMax M2.7 measured
Design Arena: data viz	Not measured	1233	Only MiniMax M2.7 measured
Design Arena: 3D	Not measured	1194	Only MiniMax M2.7 measured
Design Arena: all code categories	Not measured	1233	Only MiniMax M2.7 measured
Design Arena: SVG	Not measured	1137	Only MiniMax M2.7 measured
Design Arena: ASCII art	Not measured	1136	Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here

GeneralLike-for-likePublic boards, shown as published, kept out of the index11

General benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 Flash	MiniMax M2.7	Leader
Public Benefits Bench (Vals AI)	50.7%	Not measured	Only Ling 3.0 Flash measured
MedScribe (Vals AI)	80.9%	79.9%	Ling 3.0 Flash
IFBench	Not measured	75.7%	Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)	73.0%	78.3%	MiniMax M2.7
ExploitBench	Not measured	13.3%	Only MiniMax M2.7 measured
LMArena Text	Not measured	1405	Only MiniMax M2.7 measured
LMArena Text: instruction following	Not measured	1405	Only MiniMax M2.7 measured
LMArena Text: creative writing	Not measured	1354	Only MiniMax M2.7 measured
LMArena Text: English	Not measured	1426	Only MiniMax M2.7 measured
LMArena Text: non-English	Not measured	1382	Only MiniMax M2.7 measured
LMArena Text: Chinese	Not measured	1442	Only MiniMax M2.7 measured
LMArena Text: German	Not measured	1398	Only MiniMax M2.7 measured
LMArena Text: Japanese	Not measured	1260	Only MiniMax M2.7 measured
LMArena Text: Korean	Not measured	1314	Only MiniMax M2.7 measured
LMArena Text: French	Not measured	1424	Only MiniMax M2.7 measured
LMArena Text: Spanish	Not measured	1402	Only MiniMax M2.7 measured
LMArena Text: Russian	Not measured	1383	Only MiniMax M2.7 measured
LMArena Text: Polish	Not measured	1387	Only MiniMax M2.7 measured
LMArena Text: multi-turn	Not measured	1412	Only MiniMax M2.7 measured
LMArena Text: longer queries	Not measured	1418	Only MiniMax M2.7 measured
LMArena Text: writing and language	Not measured	1376	Only MiniMax M2.7 measured
LMArena Text: entertainment and media	Not measured	1360	Only MiniMax M2.7 measured
Neither model has a result on the other 26 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Ling 3.0 Flash and MiniMax M2.7
Benchmark	Ling 3.0 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

Ling 3.0 Flash$0.0001Fits in one request

MiniMax M2.7$0.0009Fits in one request

Ling 3.0 Flash costs less

Repository review

50K input + 3K output tokens

Ling 3.0 Flash$0.0024Fits in one request

MiniMax M2.7$0.019Fits in one request

Ling 3.0 Flash costs less

Agent loop

200K input + 10K output tokens

Ling 3.0 Flash$0.0093Fits in one request

MiniMax M2.7$0.072Exceeds the context window

Ling 3.0 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 Ling 3.0 Flash and MiniMax M2.7
Specification	inclusionAI Ling 3.0 Flash	MiniMax M2.7
Maker	inclusionAI	MiniMax
Weights	Open weights	Open weights
Released	July 23, 2026	March 18, 2026
Context window	262K	205K
Input $/Mtok	$0.0405	$0.30
Output $/Mtok	$0.1215	$1.20
Coding index	29.6	36.2
Independent measurements behind it	2	3
Cost per solved task	$0.05	$0.64
Source	OpenRouter listing	OpenRouter listing

Questions

Is Ling 3.0 Flash better than MiniMax M2.7 for coding?

Pick MiniMax M2.7 for coding: it scores 36.2 on the Vibe Coding Index against 29.6 for Ling 3.0 Flash. Pick Ling 3.0 Flash for output tokens 9.9x cheaper ($0.1215 vs $1.20 per million) and a lower cost per solved task ($0.05 against $0.64).

Which is cheaper, Ling 3.0 Flash or MiniMax M2.7?

Ling 3.0 Flash costs $0.0405 per million input tokens and $0.1215 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Per solved SWE-bench Verified task, Ling 3.0 Flash costs $0.05 and MiniMax M2.7 $0.64.

Which has the bigger context window, Ling 3.0 Flash or MiniMax M2.7?

Ling 3.0 Flash, with 262K tokens against 205K.

How many benchmarks is the Ling 3.0 Flash vs MiniMax M2.7 comparison based on?

22 benchmarks have a result for both models as of October 22, 2026. Ling 3.0 Flash's coding index rests on 2 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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Ling 3.0 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