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MiniMax M2 vs Qwen3.5-35B-A3B

Updated October 21, 2026. 36 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace MiniMax M2 Replace Qwen3.5-35B-A3B
MiniMax M2MiniMax
Coding
45.3
Overall
18.6
Output $/M
$1.02
2
Qwen3.5-35B-A3BQwen
Coding
7.7
Overall
19.3
Output $/M
$1.00
34
vs boards won of 36 shared

Decision reading

Pick MiniMax M2 for coding: it scores 45.3 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B.

Pick Qwen3.5-35B-A3B when output tokens cost 1.0x less, or when the context window is larger, 262K against 205K tokens.

Model AMiniMax M2MiniMax45.3/1002 independent benchmarks$0.702 per solved taskModel BQwen3.5-35B-A3BQwen7.7/1001 independent benchmarkNo cost per solved task
Shared results
36
MiniMax M2 only
13
Qwen3.5-35B-A3B only
9
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 45.3 from 2 benchmarks, Qwen3.5-35B-A3B 7.7 from 1 benchmark.
Widest category
Knowledge, 9.5 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: Chinese: MiniMax M2 1366 against Qwen3.5-35B-A3B 1457, 15.1 points apart on a 0 to 100 scale.
Output price
MiniMax M2 $1.02 against Qwen3.5-35B-A3B $1.00 per million output tokens, 1.0x apart.
Context window
MiniMax M2 takes 205K tokens, Qwen3.5-35B-A3B 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 M2BarsQwen3.5-35B-A3BTies
Coding23
Intelligence01
Agentic work02
Reasoning05
Math02
Knowledge04
General017
All shared boards234
CodingLike-for-likeFour of these boards feed the Vibe Coding Index23
Coding benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
SWE-bench Verified61.0%Not measuredOnly MiniMax M2 measured
LMArena WebDev12971254MiniMax M2
LiveCodeBench (Artificial Analysis run)82.6%Not measuredOnly MiniMax M2 measured
Terminal-Bench Hard (Artificial Analysis run)25.8%26.5%Qwen3.5-35B-A3B
Terminal-Bench30.0%Not measuredOnly MiniMax M2 measured
ALE-BenchNot measured221.8Only Qwen3.5-35B-A3B measured
LMArena Text: coding13711410Qwen3.5-35B-A3B
LMArena Text: software and IT13731415Qwen3.5-35B-A3B
LMArena WebDev: ReactNot measured1238Only Qwen3.5-35B-A3B measured
LMArena WebDev: HTML13061301MiniMax M2
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
AA Intelligence Index18.619.3Qwen3.5-35B-A3B
Epoch Capabilities IndexNot measured142.5Only Qwen3.5-35B-A3B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
τ²-Bench Telecom86.8%89.2%Qwen3.5-35B-A3B
Vending-Bench 2$161$463Qwen3.5-35B-A3B
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
GPQA Diamond (Artificial Analysis run)77.7%84.5%Qwen3.5-35B-A3B
Humanity's Last Exam (Artificial Analysis run)13.7%21.0%Qwen3.5-35B-A3B
GPQA Diamond (Epoch AI run)Not measured83.5%Only Qwen3.5-35B-A3B measured
LMArena Text: hard prompts13571400Qwen3.5-35B-A3B
LMArena Text: expert13381408Qwen3.5-35B-A3B
LMArena Text: hard prompts in English13761411Qwen3.5-35B-A3B
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
AA Math Index78.3Not measuredOnly MiniMax M2 measured
AIME 2025 (Artificial Analysis run)78.3%Not measuredOnly MiniMax M2 measured
OTIS Mock AIMENot measured70.0%Only Qwen3.5-35B-A3B measured
LMArena Text: math13511404Qwen3.5-35B-A3B
LMArena Text: mathematical work13681410Qwen3.5-35B-A3B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
MMLU Pro (Artificial Analysis run)82.0%Not measuredOnly MiniMax M2 measured
LMArena Text: science13481413Qwen3.5-35B-A3B
LMArena Text: medicine and healthcare13671421Qwen3.5-35B-A3B
LMArena Text: legal and government13491399Qwen3.5-35B-A3B
LMArena Text: business and finance13361394Qwen3.5-35B-A3B
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
Design Arena: websites1144Not measuredOnly MiniMax M2 measured
Design Arena: UI components1136Not measuredOnly MiniMax M2 measured
Design Arena: game dev1119Not measuredOnly MiniMax M2 measured
Design Arena: data viz1140Not measuredOnly MiniMax M2 measured
Design Arena: 3D1098Not measuredOnly MiniMax M2 measured
Design Arena: all code categories1135Not measuredOnly MiniMax M2 measured
Design Arena: SVG1098Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
IFBench72.3%72.5%Qwen3.5-35B-A3B
Long context reasoning (AA-LCR)64.3%72.0%Qwen3.5-35B-A3B
DTBenchNot measured80.0%Only Qwen3.5-35B-A3B measured
LMCANot measured29.5%Only Qwen3.5-35B-A3B measured
LMArena Text13401395Qwen3.5-35B-A3B
LMArena Text: instruction following13291379Qwen3.5-35B-A3B
LMArena Text: creative writing12861347Qwen3.5-35B-A3B
LMArena Text: English13641407Qwen3.5-35B-A3B
LMArena Text: non-English13131378Qwen3.5-35B-A3B
LMArena Text: Chinese13661457Qwen3.5-35B-A3B
LMArena Text: German13571367Qwen3.5-35B-A3B
LMArena Text: JapaneseNot measured1326Only Qwen3.5-35B-A3B measured
LMArena Text: KoreanNot measured1355Only Qwen3.5-35B-A3B measured
LMArena Text: French13361412Qwen3.5-35B-A3B
LMArena Text: Spanish13261390Qwen3.5-35B-A3B
LMArena Text: Russian13301376Qwen3.5-35B-A3B
LMArena Text: Polish13121385Qwen3.5-35B-A3B
LMArena Text: multi-turn13611390Qwen3.5-35B-A3B
LMArena Text: longer queries13311389Qwen3.5-35B-A3B
LMArena Text: writing and language12951365Qwen3.5-35B-A3B
LMArena Text: entertainment and media12981347Qwen3.5-35B-A3B
Neither model has a result on the other 25 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for MiniMax M2 and Qwen3.5-35B-A3B
BenchmarkMiniMax M2Qwen3.5-35B-A3BLeader
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$0.0008Fits in one request
Qwen3.5-35B-A3B$0.0006Fits in one request

Qwen3.5-35B-A3B costs less

Repository review

50K input + 3K output tokens

MiniMax M2$0.016Fits in one request
Qwen3.5-35B-A3B$0.010Fits in one request

Qwen3.5-35B-A3B costs less

Agent loop

200K input + 10K output tokens

MiniMax M2$0.061Exceeds the context window
Qwen3.5-35B-A3B$0.038Fits in one request

Qwen3.5-35B-A3B 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 and Qwen3.5-35B-A3B
SpecificationMiniMax M2Qwen3.5-35B-A3B
MakerMiniMaxQwen
WeightsOpen weightsOpen weights
ReleasedOctober 23, 2025February 25, 2026
Context window205K262K
Input $/Mtok$0.255$0.14
Output $/Mtok$1.02$1.00
Coding index45.37.7
Independent measurements behind it21
Cost per solved task$0.702Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2 better than Qwen3.5-35B-A3B for coding?

Pick MiniMax M2 for coding: it scores 45.3 on the Vibe Coding Index against 7.7 for Qwen3.5-35B-A3B. Pick Qwen3.5-35B-A3B when output tokens cost 1.0x less, or when the context window is larger, 262K against 205K tokens.

Which is cheaper, MiniMax M2 or Qwen3.5-35B-A3B?

MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; Qwen3.5-35B-A3B costs $0.14 and $1.00. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, MiniMax M2 or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B, with 262K tokens against 205K.

How many benchmarks is the MiniMax M2 vs Qwen3.5-35B-A3B comparison based on?

36 benchmarks have a result for both models as of October 21, 2026. MiniMax M2's coding index rests on 2 independent benchmarks and Qwen3.5-35B-A3B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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