MiniMax M2.7 vs Qwen3.5 Plus 2026-04-20

Qwen3.5 Plus 2026-04-20 leads MiniMax M2.7 on coding, 39.5 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 1.5x less per output token ($1.20 vs $1.80 per million). Updated October 22, 2026; 11 benchmarks have a result for both.

Replace MiniMax M2.7 Replace Qwen3.5 Plus 2026-04-20

MiniMax M2.7MiniMax

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

Qwen3.5 Plus 2026-04-20Qwen

Coding: 39.5
Overall: No data
Output $/M: $1.80

vs boards won of 11 shared

MiniMax M2.7 or Qwen3.5 Plus 2026-04-20: which to pick

Pick Qwen3.5 Plus 2026-04-20 for coding: it scores 39.5 on the Vibe Coding Index against 36.2 for MiniMax M2.7, though on 2 benchmarks against 3.

Pick MiniMax M2.7 for output tokens 1.5x cheaper ($1.20 vs $1.80 per million) and a lower cost per solved task ($0.64 against $1.35).

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved task Model BQwen3.5 Plus 2026-04-20Qwen39.5/1002 independent benchmarks$1.35 per solved task

116314

Shared results: 11
MiniMax M2.7 only: 63
Qwen3.5 Plus 2026-04-20 only: 14
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.

Coding
Vibe Coding Index, six public coding benchmarks
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 scores 39.5 against 36.2.
3 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiniMax M2.7 has a AA Intelligence Index result, 22.8.
Directional only
Agentic work
AA Agentic Index
No call
Only MiniMax M2.7 has a AA Agentic Index result, 15.3.
Directional only
Reasoning
GPQA Diamond
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 leads, 87.4% against 86.6%.
Same board, both measured
Math
AIME
MiniMax M2.7
MiniMax M2.7 leads, 91.0% against 86.0%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 leads, 87.2% 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
Qwen3.5 Plus 2026-04-20
Qwen3.5 Plus 2026-04-20 takes 1M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.7
MiniMax M2.7 $0.0009, Qwen3.5 Plus 2026-04-20 $0.0012 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
MiniMax M2.7
MiniMax M2.7 $0.64, Qwen3.5 Plus 2026-04-20 $1.35.
Published attempt cost and pass rate

At a glance

Coding index: MiniMax M2.7 36.2 from 3 benchmarks, Qwen3.5 Plus 2026-04-20 39.5 from 2 benchmarks.
Widest category: Math, 5.0 points apart on average over 1 shared benchmark.
Widest single gap: MMLU Pro: MiniMax M2.7 80.4% against Qwen3.5 Plus 2026-04-20 87.2%, 6.8 points apart on a 0 to 100 scale.
Output price: MiniMax M2.7 $1.20 against Qwen3.5 Plus 2026-04-20 $1.80 per million output tokens, 1.5x apart.
Context window: MiniMax M2.7 takes 205K tokens, Qwen3.5 Plus 2026-04-20 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
Category	MiniMax M2.7	Qwen3.5 Plus 2026-04-20
Coding	1	3
Intelligence	0	1
Reasoning	0	1
Math	1	0
Knowledge	1	3
All shared boards	3	8

CodingLike-for-likeSix of these boards feed the Vibe Coding Index13

Coding benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
LMArena WebDev	1399	Not measured	Only MiniMax M2.7 measured
AA Coding Index	52.6	Not measured	Only MiniMax M2.7 measured
LiveCodeBench (Vals AI)	79.9%	85.3%	Qwen3.5 Plus 2026-04-20
SWE-bench Verified (Vals AI)	73.8%	71.2%	MiniMax M2.7
Vibe Code Bench (Vals AI)	11.9%	15.7%	Qwen3.5 Plus 2026-04-20
Code migration (Vals AI)	8.7%	Not measured	Only MiniMax M2.7 measured
ProgramBench (Vals AI)	0.0%	Not measured	Only MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)	48.7%	Not measured	Only MiniMax M2.7 measured
SciCode	50.1%	Not measured	Only MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)	39.4%	Not measured	Only MiniMax M2.7 measured
Terminal-Bench	45.1%	Not measured	Only MiniMax M2.7 measured
WeirdML	37.0%	Not measured	Only MiniMax M2.7 measured
ALE-Bench	599.3	608.9	Qwen3.5 Plus 2026-04-20
LMArena Text: coding	1454	Not measured	Only MiniMax M2.7 measured
LMArena Text: software and IT	1446	Not measured	Only MiniMax M2.7 measured
LMArena WebDev: React	1388	Not measured	Only MiniMax M2.7 measured
LMArena WebDev: HTML	1401	Not measured	Only MiniMax M2.7 measured
Neither model has a result on the other 26 boards here

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

Intelligence benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
AA Intelligence Index	22.8	Not measured	Only MiniMax M2.7 measured
Epoch Capabilities Index	145.8	146.2	Qwen3.5 Plus 2026-04-20

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared

Agentic work benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
AA Agentic Index	15.3	Not measured	Only MiniMax M2.7 measured
Finance Agent (Vals AI)	27.9%	Not measured	Only MiniMax M2.7 measured
Tax Agent Bench (Vals AI)	6.9%	Not measured	Only MiniMax M2.7 measured
Legal Research Bench (Vals AI)	10.6%	Not measured	Only MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)	28.4%	Not measured	Only MiniMax M2.7 measured
τ²-Bench Telecom	84.8%	Not measured	Only MiniMax M2.7 measured
Vending-Bench 2	Not measured	$1	Only Qwen3.5 Plus 2026-04-20 measured
Neither model has a result on the other 35 boards here

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

Reasoning benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
GPQA Diamond	86.6%	87.4%	Qwen3.5 Plus 2026-04-20
MMMU Pro (Vals AI)	Not measured	22.8%	Only Qwen3.5 Plus 2026-04-20 measured
GPQA Diamond (Artificial Analysis run)	87.4%	Not measured	Only MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)	29.6%	Not measured	Only MiniMax M2.7 measured
GPQA Diamond (Epoch AI run)	Not measured	84.8%	Only Qwen3.5 Plus 2026-04-20 measured
Chess puzzles	Not measured	8.0%	Only Qwen3.5 Plus 2026-04-20 measured
Mystery game puzzles	Not measured	17.0%	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: hard prompts	1422	Not measured	Only MiniMax M2.7 measured
LMArena Text: expert	1443	Not measured	Only MiniMax M2.7 measured
LMArena Text: hard prompts in English	1441	Not measured	Only MiniMax M2.7 measured
Neither model has a result on the other 13 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index10

Math benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
AIME	91.0%	86.0%	MiniMax M2.7
OTIS Mock AIME	Not measured	86.7%	Only Qwen3.5 Plus 2026-04-20 measured
ProofBench	3.0%	Not measured	Only MiniMax M2.7 measured
LMArena Text: math	1421	Not measured	Only MiniMax M2.7 measured
LMArena Text: mathematical work	1437	Not measured	Only MiniMax M2.7 measured
Neither model has a result on the other 9 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13

Knowledge benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
MMLU Pro	80.4%	87.2%	Qwen3.5 Plus 2026-04-20
LegalBench (Vals AI)	84.0%	85.1%	Qwen3.5 Plus 2026-04-20
CaseLaw (Vals AI)	60.9%	59.7%	MiniMax M2.7
CorpFin (Vals AI)	61.2%	65.3%	Qwen3.5 Plus 2026-04-20
TaxEval (Vals AI)	66.6%	Not measured	Only MiniMax M2.7 measured
MortgageTax (Vals AI)	Not measured	60.8%	Only Qwen3.5 Plus 2026-04-20 measured
MedQA (Vals AI)	Not measured	95.2%	Only Qwen3.5 Plus 2026-04-20 measured
MedCode (Vals AI)	34.4%	Not measured	Only MiniMax M2.7 measured
SimpleQA Verified	Not measured	25.4%	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text: science	1416	Not measured	Only MiniMax M2.7 measured
LMArena Text: medicine and healthcare	1409	Not measured	Only MiniMax M2.7 measured
LMArena Text: legal and government	1403	Not measured	Only MiniMax M2.7 measured
LMArena Text: business and finance	1407	Not measured	Only MiniMax M2.7 measured
Neither model has a result on the other 7 boards here

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

Web design benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
Design Arena: websites	1242	Not measured	Only MiniMax M2.7 measured
Design Arena: UI components	1207	Not measured	Only MiniMax M2.7 measured
Design Arena: game dev	1209	Not measured	Only MiniMax M2.7 measured
Design Arena: data viz	1233	Not measured	Only MiniMax M2.7 measured
Design Arena: 3D	1194	Not measured	Only MiniMax M2.7 measured
Design Arena: all code categories	1233	Not measured	Only MiniMax M2.7 measured
Design Arena: SVG	1137	Not measured	Only MiniMax M2.7 measured
Design Arena: ASCII art	1136	Not measured	Only MiniMax M2.7 measured
Neither model has a result on the other 1 board here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index26 boards, none shared

General benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	Leader
SAGE (Vals AI)	Not measured	30.4%	Only Qwen3.5 Plus 2026-04-20 measured
MedScribe (Vals AI)	79.9%	Not measured	Only MiniMax M2.7 measured
IFBench	75.7%	Not measured	Only MiniMax M2.7 measured
Long context reasoning (AA-LCR)	78.3%	Not measured	Only MiniMax M2.7 measured
DTBench	Not measured	80.5%	Only Qwen3.5 Plus 2026-04-20 measured
LMCA	Not measured	36.4%	Only Qwen3.5 Plus 2026-04-20 measured
CL-bench	Not measured	19.8%	Only Qwen3.5 Plus 2026-04-20 measured
ExploitBench	13.3%	Not measured	Only MiniMax M2.7 measured
CL-bench Life	Not measured	12.4%	Only Qwen3.5 Plus 2026-04-20 measured
LMArena Text	1405	Not measured	Only MiniMax M2.7 measured
LMArena Text: instruction following	1405	Not measured	Only MiniMax M2.7 measured
LMArena Text: creative writing	1354	Not measured	Only MiniMax M2.7 measured
LMArena Text: English	1426	Not measured	Only MiniMax M2.7 measured
LMArena Text: non-English	1382	Not measured	Only MiniMax M2.7 measured
LMArena Text: Chinese	1442	Not measured	Only MiniMax M2.7 measured
LMArena Text: German	1398	Not measured	Only MiniMax M2.7 measured
LMArena Text: Japanese	1260	Not measured	Only MiniMax M2.7 measured
LMArena Text: Korean	1314	Not measured	Only MiniMax M2.7 measured
LMArena Text: French	1424	Not measured	Only MiniMax M2.7 measured
LMArena Text: Spanish	1402	Not measured	Only MiniMax M2.7 measured
LMArena Text: Russian	1383	Not measured	Only MiniMax M2.7 measured
LMArena Text: Polish	1387	Not measured	Only MiniMax M2.7 measured
LMArena Text: multi-turn	1412	Not measured	Only MiniMax M2.7 measured
LMArena Text: longer queries	1418	Not measured	Only MiniMax M2.7 measured
LMArena Text: writing and language	1376	Not measured	Only MiniMax M2.7 measured
LMArena Text: entertainment and media	1360	Not measured	Only MiniMax M2.7 measured
Neither model has a result on the other 22 boards here

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

Image generation benchmarks for MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Benchmark	MiniMax M2.7	Qwen3.5 Plus 2026-04-20	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

MiniMax M2.7$0.0009Fits in one request

Qwen3.5 Plus 2026-04-20$0.0012Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request

Qwen3.5 Plus 2026-04-20$0.020Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window

Qwen3.5 Plus 2026-04-20$0.078Fits in one request

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 MiniMax M2.7 and Qwen3.5 Plus 2026-04-20
Specification	MiniMax M2.7	Qwen3.5 Plus 2026-04-20
Maker	MiniMax	Qwen
Weights	Open weights	No public weights listed
Released	March 18, 2026	April 27, 2026
Context window	205K	1M
Input $/Mtok	$0.30	$0.30
Output $/Mtok	$1.20	$1.80
Coding index	36.2	39.5
Independent measurements behind it	3	2
Cost per solved task	$0.64	$1.35
Source	OpenRouter listing	OpenRouter listing

Questions

Is MiniMax M2.7 better than Qwen3.5 Plus 2026-04-20 for coding?

Pick Qwen3.5 Plus 2026-04-20 for coding: it scores 39.5 on the Vibe Coding Index against 36.2 for MiniMax M2.7, though on 2 benchmarks against 3. Pick MiniMax M2.7 for output tokens 1.5x cheaper ($1.20 vs $1.80 per million) and a lower cost per solved task ($0.64 against $1.35).

Which is cheaper, MiniMax M2.7 or Qwen3.5 Plus 2026-04-20?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; Qwen3.5 Plus 2026-04-20 costs $0.30 and $1.80. Per solved SWE-bench Verified task, MiniMax M2.7 costs $0.64 and Qwen3.5 Plus 2026-04-20 $1.35.

Which has the bigger context window, MiniMax M2.7 or Qwen3.5 Plus 2026-04-20?

Qwen3.5 Plus 2026-04-20, with 1M tokens against 205K.

How many benchmarks is the MiniMax M2.7 vs Qwen3.5 Plus 2026-04-20 comparison based on?

11 benchmarks have a result for both models as of October 22, 2026. MiniMax M2.7's coding index rests on 3 independent benchmarks and Qwen3.5 Plus 2026-04-20's on 2. Where only one model has a result, the page says so instead of naming a winner.

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MiniMax M2.7 or Qwen3.5 Plus 2026-04-20: 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

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