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MiniMax M2.7 vs Qwen3 Next 80B A3B Thinking

MiniMax M2.7 leads Qwen3 Next 80B A3B Thinking on the Artificial Analysis Intelligence Index, 22.8 to 11.2, at about the same output price ($1.20 vs $1.20 per million). Updated October 22, 2026; 30 benchmarks have a result for both.

Replace MiniMax M2.7 Replace Qwen3 Next 80B A3B Thinking
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
29
Qwen3 Next 80B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.20
1
vs boards won of 30 shared

MiniMax M2.7 or Qwen3 Next 80B A3B Thinking: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding.

Pick Qwen3 Next 80B A3B Thinking for a larger context window (262K against 205K tokens) and work measured by LMArena Text: Japanese, where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel BQwen3 Next 80B A3B ThinkingQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
30
MiniMax M2.7 only
44
Qwen3 Next 80B A3B Thinking only
0
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.

At a glance

Coding index
MiniMax M2.7 36.2 from 3 benchmarks, Qwen3 Next 80B A3B Thinking not benchmarked.
Widest category
Coding, 18.1 points apart on average over 3 shared benchmarks.
Widest single gap
AA Coding Index: MiniMax M2.7 52.6 against Qwen3 Next 80B A3B Thinking 17.4, 35.2 points apart on a 0 to 100 scale.
Output price
Both cost $1.20 per million output tokens.
Context window
MiniMax M2.7 takes 205K tokens, Qwen3 Next 80B A3B Thinking 262K.

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
CategoryMiniMax M2.7BarsQwen3 Next 80B A3B ThinkingTies
Coding30
Intelligence10
Reasoning30
Math20
Knowledge40
General161
All shared boards291
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
LMArena WebDev1399Not measuredOnly MiniMax M2.7 measured
AA Coding Index52.617.4MiniMax M2.7
LiveCodeBench (Vals AI)79.9%Not measuredOnly MiniMax M2.7 measured
SWE-bench Verified (Vals AI)73.8%Not measuredOnly MiniMax M2.7 measured
Vibe Code Bench (Vals AI)11.9%Not measuredOnly MiniMax M2.7 measured
Code migration (Vals AI)8.7%Not measuredOnly MiniMax M2.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench 2.1 (Vals AI)48.7%Not measuredOnly MiniMax M2.7 measured
SciCode50.1%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)39.4%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench45.1%Not measuredOnly MiniMax M2.7 measured
WeirdML37.0%Not measuredOnly MiniMax M2.7 measured
ALE-Bench599.3Not measuredOnly MiniMax M2.7 measured
LMArena Text: coding14541392MiniMax M2.7
LMArena Text: software and IT14461393MiniMax M2.7
LMArena WebDev: React1388Not measuredOnly MiniMax M2.7 measured
LMArena WebDev: HTML1401Not measuredOnly 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 index10
Intelligence benchmarks for MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
AA Intelligence Index22.811.2MiniMax M2.7
Epoch Capabilities Index145.8Not measuredOnly MiniMax M2.7 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Agentic work benchmarks for MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
AA Agentic Index15.3Not measuredOnly MiniMax M2.7 measured
Finance Agent (Vals AI)27.9%Not measuredOnly MiniMax M2.7 measured
Tax Agent Bench (Vals AI)6.9%Not measuredOnly MiniMax M2.7 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly MiniMax M2.7 measured
Excel Modeling Benchmark (Vals AI)28.4%Not measuredOnly MiniMax M2.7 measured
τ²-Bench Telecom84.8%Not measuredOnly 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 index30
Reasoning benchmarks for MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
GPQA Diamond86.6%Not measuredOnly MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)87.4%Not measuredOnly MiniMax M2.7 measured
Humanity's Last Exam (Artificial Analysis run)29.6%Not measuredOnly MiniMax M2.7 measured
LMArena Text: hard prompts14221371MiniMax M2.7
LMArena Text: expert14431376MiniMax M2.7
LMArena Text: hard prompts in English14411384MiniMax M2.7
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
AIME91.0%Not measuredOnly MiniMax M2.7 measured
ProofBench3.0%Not measuredOnly MiniMax M2.7 measured
LMArena Text: math14211399MiniMax M2.7
LMArena Text: mathematical work14371390MiniMax M2.7
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
MMLU Pro80.4%Not measuredOnly MiniMax M2.7 measured
LegalBench (Vals AI)84.0%Not measuredOnly MiniMax M2.7 measured
CaseLaw (Vals AI)60.9%Not measuredOnly MiniMax M2.7 measured
CorpFin (Vals AI)61.2%Not measuredOnly MiniMax M2.7 measured
TaxEval (Vals AI)66.6%Not measuredOnly MiniMax M2.7 measured
MedCode (Vals AI)34.4%Not measuredOnly MiniMax M2.7 measured
LMArena Text: science14161384MiniMax M2.7
LMArena Text: medicine and healthcare14091392MiniMax M2.7
LMArena Text: legal and government14031364MiniMax M2.7
LMArena Text: business and finance14071360MiniMax M2.7
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 MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
Design Arena: websites1242Not measuredOnly MiniMax M2.7 measured
Design Arena: UI components1207Not measuredOnly MiniMax M2.7 measured
Design Arena: game dev1209Not measuredOnly MiniMax M2.7 measured
Design Arena: data viz1233Not measuredOnly MiniMax M2.7 measured
Design Arena: 3D1194Not measuredOnly MiniMax M2.7 measured
Design Arena: all code categories1233Not measuredOnly MiniMax M2.7 measured
Design Arena: SVG1137Not measuredOnly MiniMax M2.7 measured
Design Arena: ASCII art1136Not measuredOnly 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 index161
General benchmarks for MiniMax M2.7 and Qwen3 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
MedScribe (Vals AI)79.9%Not measuredOnly MiniMax M2.7 measured
IFBench75.7%Not measuredOnly MiniMax M2.7 measured
Long context reasoning (AA-LCR)78.3%Not measuredOnly MiniMax M2.7 measured
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051368MiniMax M2.7
LMArena Text: instruction following14051344MiniMax M2.7
LMArena Text: creative writing13541314MiniMax M2.7
LMArena Text: English14261392MiniMax M2.7
LMArena Text: non-English13821342MiniMax M2.7
LMArena Text: Chinese14421407MiniMax M2.7
LMArena Text: German13981356MiniMax M2.7
LMArena Text: Japanese12601280Qwen3 Next 80B A3B Thinking
LMArena Text: Korean13141310MiniMax M2.7
LMArena Text: French14241351MiniMax M2.7
LMArena Text: Spanish14021358MiniMax M2.7
LMArena Text: Russian13831337MiniMax M2.7
LMArena Text: Polish13871345MiniMax M2.7
LMArena Text: multi-turn14121346MiniMax M2.7
LMArena Text: longer queries14181353MiniMax M2.7
LMArena Text: writing and language13761330MiniMax M2.7
LMArena Text: entertainment and media13601312MiniMax M2.7
Neither model has a result on the other 27 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 Next 80B A3B Thinking
BenchmarkMiniMax M2.7Qwen3 Next 80B A3B ThinkingLeader
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 Next 80B A3B Thinking$0.0008Fits in one request

Qwen3 Next 80B A3B Thinking costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
Qwen3 Next 80B A3B Thinking$0.011Fits in one request

Qwen3 Next 80B A3B Thinking costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
Qwen3 Next 80B A3B Thinking$0.042Fits in one request

Qwen3 Next 80B A3B Thinking 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 Next 80B A3B Thinking
SpecificationMiniMax M2.7Qwen3 Next 80B A3B Thinking
MakerMiniMaxQwen
WeightsOpen weightsOpen weights
ReleasedMarch 18, 2026September 11, 2025
Context window205K262K
Input $/Mtok$0.30$0.15
Output $/Mtok$1.20$1.20
Coding index36.2Not benchmarked
Independent measurements behind it30
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than Qwen3 Next 80B A3B Thinking for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Qwen3 Next 80B A3B Thinking has none, so the two cannot be ranked on coding. Pick Qwen3 Next 80B A3B Thinking for a larger context window (262K against 205K tokens) and work measured by LMArena Text: Japanese, where it leads.

Which is cheaper, MiniMax M2.7 or Qwen3 Next 80B A3B Thinking?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, MiniMax M2.7 or Qwen3 Next 80B A3B Thinking?

Qwen3 Next 80B A3B Thinking, with 262K tokens against 205K.

How many benchmarks is the MiniMax M2.7 vs Qwen3 Next 80B A3B Thinking comparison based on?

30 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 Next 80B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.

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