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MiniMax M2 vs Qwen3 30B A3B

MiniMax M2 leads Qwen3 30B A3B on the Artificial Analysis Intelligence Index, 18.6 to 7.6, and Qwen3 30B A3B costs 2.0x less per output token ($0.50 vs $1.02 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace MiniMax M2 Replace Qwen3 30B A3B
MiniMax M2MiniMax
Coding
No data
Overall
No data
Output $/M
$1.02
40
Qwen3 30B A3BQwen
Coding
No data
Overall
38.2
Output $/M
$0.50
2
vs boards won of 42 shared

MiniMax M2 or Qwen3 30B A3B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick MiniMax M2 for a larger context window (205K against 41K tokens) and work measured by LMArena Text: math or LMArena Text: French, where it leads.

Model AMiniMax M2MiniMaxNot benchmarked1 independent benchmark$0.702 per solved taskModel BQwen3 30B A3BQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
42
MiniMax M2 only
8
Qwen3 30B A3B only
11
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.

At a glance

Coding index
MiniMax M2 not benchmarked, Qwen3 30B A3B not benchmarked.
Widest category
Agentic work, 60.8 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): MiniMax M2 64.3% against Qwen3 30B A3B 0.0%, 64.3 points apart on a 0 to 100 scale.
Output price
MiniMax M2 $1.02 against Qwen3 30B A3B $0.50 per million output tokens, 2.0x apart.
Context window
MiniMax M2 takes 205K tokens, Qwen3 30B A3B 41K.

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 30B A3BTies
Coding40
Intelligence10
Agentic work10
Reasoning50
Math31
Knowledge50
Web design50
General161
All shared boards402
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
SWE-bench Verified61.0%Not measuredOnly MiniMax M2 measured
LMArena WebDev1297Not measuredOnly MiniMax M2 measured
LiveCodeBench (Artificial Analysis run)82.6%50.6%MiniMax M2
Terminal-Bench Hard (Artificial Analysis run)25.8%6.8%MiniMax M2
Terminal-Bench30.0%Not measuredOnly MiniMax M2 measured
WeirdMLNot measured29.8%Only Qwen3 30B A3B measured
LMArena Text: coding13711337MiniMax M2
LMArena Text: software and IT13731340MiniMax M2
LMArena WebDev: HTML1306Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 34 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
AA Intelligence Index18.67.6MiniMax M2
Epoch Capabilities IndexNot measured137.3Only Qwen3 30B A3B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
τ²-Bench Telecom86.8%26.0%MiniMax M2
Vending-Bench 2$161Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
GPQA Diamond (Artificial Analysis run)77.7%61.6%MiniMax M2
Humanity's Last Exam (Artificial Analysis run)13.7%6.2%MiniMax M2
GPQA Diamond (Epoch AI run)Not measured61.7%Only Qwen3 30B A3B measured
LMArena Text: hard prompts13571314MiniMax M2
LMArena Text: expert13381314MiniMax M2
LMArena Text: hard prompts in English13761329MiniMax M2
Kagi LLM Benchmark57.8%Not measuredOnly MiniMax M2 measured
Neither model has a result on the other 16 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index31
Math benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
AA Math Index78.372.3MiniMax M2
AIME 2025 (Artificial Analysis run)78.3%72.3%MiniMax M2
OTIS Mock AIMENot measured62.8%Only Qwen3 30B A3B measured
LMArena Text: math13511355Qwen3 30B A3B
LMArena Text: mathematical work13681363MiniMax M2
MathArenaNot measured9.4%Only Qwen3 30B A3B measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
MMLU Pro (Artificial Analysis run)82.0%77.7%MiniMax M2
LMArena Text: science13481321MiniMax M2
LMArena Text: medicine and healthcare13671318MiniMax M2
LMArena Text: legal and government13491314MiniMax M2
LMArena Text: business and finance13361309MiniMax M2
Neither model has a result on the other 15 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
Design Arena: websites1143954MiniMax M2
Design Arena: UI components1134943MiniMax M2
Design Arena: game dev1118898MiniMax M2
Design Arena: data viz1140967MiniMax M2
Design Arena: 3D1098Not measuredOnly MiniMax M2 measured
Design Arena: all code categories1135941MiniMax M2
Design Arena: SVG1100Not 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 index161
General benchmarks for MiniMax M2 and Qwen3 30B A3B
BenchmarkMiniMax M2Qwen3 30B A3BLeader
IFBench72.3%41.5%MiniMax M2
Long context reasoning (AA-LCR)64.3%0.0%MiniMax M2
DTBenchNot measured60.3%Only Qwen3 30B A3B measured
LMCANot measured15.8%Only Qwen3 30B A3B measured
Fiction.LiveBenchNot measured40.6%Only Qwen3 30B A3B measured
Creative writing (Lech Mazur)Not measured75.3%Only Qwen3 30B A3B measured
LMArena Text13401317MiniMax M2
LMArena Text: instruction following13291283MiniMax M2
LMArena Text: creative writing12861271MiniMax M2
LMArena Text: English13641335MiniMax M2
LMArena Text: non-English13131295MiniMax M2
LMArena Text: Chinese13661347MiniMax M2
LMArena Text: German13571307MiniMax M2
LMArena Text: JapaneseNot measured1254Only Qwen3 30B A3B measured
LMArena Text: KoreanNot measured1261Only Qwen3 30B A3B measured
LMArena Text: French13361352Qwen3 30B A3B
LMArena Text: Spanish13261317MiniMax M2
LMArena Text: Russian13301291MiniMax M2
LMArena Text: Polish13121299MiniMax M2
LMArena Text: multi-turn13611307MiniMax M2
LMArena Text: longer queries13311312MiniMax M2
LMArena Text: writing and language12951290MiniMax M2
LMArena Text: entertainment and media12981258MiniMax M2
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 30B A3B
BenchmarkMiniMax M2Qwen3 30B 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 30B A3B$0.0004Fits in one request

Qwen3 30B A3B costs less

Repository review

50K input + 3K output tokens

MiniMax M2$0.016Fits in one request
Qwen3 30B A3B$0.0075Exceeds the context window

Qwen3 30B A3B costs less

Agent loop

200K input + 10K output tokens

MiniMax M2$0.061Exceeds the context window
Qwen3 30B A3B$0.029Exceeds the context window

Qwen3 30B 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 30B A3B
SpecificationMiniMax M2Qwen3 30B A3B
MakerMiniMaxQwen
WeightsOpen weightsOpen weights
ReleasedOctober 23, 2025April 28, 2025
Context window205K41K
Input $/Mtok$0.255$0.12
Output $/Mtok$1.02$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.702Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2 better than Qwen3 30B A3B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick MiniMax M2 for a larger context window (205K against 41K tokens) and work measured by LMArena Text: math or LMArena Text: French, where it leads.

Which is cheaper, MiniMax M2 or Qwen3 30B A3B?

MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens; Qwen3 30B A3B costs $0.12 and $0.50. Cost per solved task is known for MiniMax M2 only.

Which has the bigger context window, MiniMax M2 or Qwen3 30B A3B?

MiniMax M2, with 205K tokens against 41K.

How many benchmarks is the MiniMax M2 vs Qwen3 30B A3B comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. MiniMax M2's coding index rests on 1 independent benchmark and Qwen3 30B A3B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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