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MiniMax M2.7 vs Qwen3 Coder 480B A35B

MiniMax M2.7 leads Qwen3 Coder 480B A35B on the Artificial Analysis Intelligence Index, 22.8 to 11.9, and MiniMax M2.7 costs 1.3x less per output token ($1.20 vs $1.50 per million). Updated October 22, 2026; 46 benchmarks have a result for both.

Replace MiniMax M2.7 Replace Qwen3 Coder 480B A35B
MiniMax M2.7MiniMax
Coding
36.2
Overall
44.5
Output $/M
$1.20
44
Qwen3 Coder 480B A35BQwen
Coding
No data
Overall
No data
Output $/M
$1.50
2
vs boards won of 46 shared

MiniMax M2.7 or Qwen3 Coder 480B A35B: which to pick

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding.

Pick Qwen3 Coder 480B A35B for a larger context window (262K against 205K tokens) and work measured by WeirdML or LMArena Text: Japanese, where it leads.

Model AMiniMax M2.7MiniMax36.2/1003 independent benchmarks$0.64 per solved taskModel BQwen3 Coder 480B A35BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
46
MiniMax M2.7 only
28
Qwen3 Coder 480B A35B only
7
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 M2.7 36.2 from 3 benchmarks, Qwen3 Coder 480B A35B not benchmarked.
Widest category
Agentic work, 41.2 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: MiniMax M2.7 84.8% against Qwen3 Coder 480B A35B 43.6%, 41.2 points apart on a 0 to 100 scale.
Output price
MiniMax M2.7 $1.20 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.3x apart.
Context window
MiniMax M2.7 takes 205K tokens, Qwen3 Coder 480B A35B 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 Coder 480B A35BTies
Coding81
Intelligence10
Agentic work10
Reasoning50
Math20
Knowledge40
Web design50
General181
All shared boards442
CodingLike-for-likeSix of these boards feed the Vibe Coding Index81
Coding benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
SWE-bench VerifiedNot measured69.6%Only Qwen3 Coder 480B A35B measured
LMArena WebDev13991275MiniMax M2.7
AA Coding Index52.6Not measuredOnly MiniMax M2.7 measured
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
LiveCodeBench (Artificial Analysis run)Not measured58.5%Only Qwen3 Coder 480B A35B measured
SciCode50.1%Not measuredOnly MiniMax M2.7 measured
Terminal-Bench Hard (Artificial Analysis run)39.4%18.9%MiniMax M2.7
Terminal-Bench45.1%27.2%MiniMax M2.7
GSO-BenchNot measured4.9%Only Qwen3 Coder 480B A35B measured
WeirdML37.0%41.2%Qwen3 Coder 480B A35B
ALE-Bench599.3461.4MiniMax M2.7
LMArena Text: coding14541412MiniMax M2.7
LMArena Text: software and IT14461393MiniMax M2.7
LMArena WebDev: React13881257MiniMax M2.7
LMArena WebDev: HTML14011287MiniMax M2.7
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
AA Intelligence Index22.811.9MiniMax M2.7
Epoch Capabilities Index145.8Not measuredOnly MiniMax M2.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
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%43.6%MiniMax M2.7
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
GPQA Diamond86.6%Not measuredOnly MiniMax M2.7 measured
GPQA Diamond (Artificial Analysis run)87.4%61.8%MiniMax M2.7
Humanity's Last Exam (Artificial Analysis run)29.6%4.5%MiniMax M2.7
LMArena Text: hard prompts14221372MiniMax M2.7
LMArena Text: expert14431338MiniMax M2.7
LMArena Text: hard prompts in English14411380MiniMax M2.7
Kagi LLM BenchmarkNot measured49.5%Only Qwen3 Coder 480B A35B measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
AIME91.0%Not measuredOnly MiniMax M2.7 measured
AA Math IndexNot measured39.3Only Qwen3 Coder 480B A35B measured
AIME 2025 (Artificial Analysis run)Not measured39.3%Only Qwen3 Coder 480B A35B measured
ProofBench3.0%Not measuredOnly MiniMax M2.7 measured
LMArena Text: math14211365MiniMax M2.7
LMArena Text: mathematical work14371367MiniMax M2.7
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
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
MMLU Pro (Artificial Analysis run)Not measured78.8%Only Qwen3 Coder 480B A35B measured
LMArena Text: science14161347MiniMax M2.7
LMArena Text: medicine and healthcare14091347MiniMax M2.7
LMArena Text: legal and government14031358MiniMax M2.7
LMArena Text: business and finance14071343MiniMax M2.7
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
Design Arena: websites12431158MiniMax M2.7
Design Arena: UI components12101110MiniMax M2.7
Design Arena: game dev12091098MiniMax M2.7
Design Arena: data viz12331084MiniMax M2.7
Design Arena: 3D1195Not measuredOnly MiniMax M2.7 measured
Design Arena: all code categories12331142MiniMax M2.7
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 index181
General benchmarks for MiniMax M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
MedScribe (Vals AI)79.9%Not measuredOnly MiniMax M2.7 measured
IFBench75.7%40.5%MiniMax M2.7
Long context reasoning (AA-LCR)78.3%45.7%MiniMax M2.7
ExploitBench13.3%Not measuredOnly MiniMax M2.7 measured
LMArena Text14051357MiniMax M2.7
LMArena Text: instruction following14051355MiniMax M2.7
LMArena Text: creative writing13541333MiniMax M2.7
LMArena Text: English14261359MiniMax M2.7
LMArena Text: non-English13821346MiniMax M2.7
LMArena Text: Chinese14421357MiniMax M2.7
LMArena Text: German13981325MiniMax M2.7
LMArena Text: Japanese12601311Qwen3 Coder 480B A35B
LMArena Text: Korean13141305MiniMax M2.7
LMArena Text: French14241398MiniMax M2.7
LMArena Text: Spanish14021360MiniMax M2.7
LMArena Text: Russian13831366MiniMax M2.7
LMArena Text: Polish13871344MiniMax M2.7
LMArena Text: multi-turn14121366MiniMax M2.7
LMArena Text: longer queries14181378MiniMax M2.7
LMArena Text: writing and language13761340MiniMax M2.7
LMArena Text: entertainment and media13601317MiniMax M2.7
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 M2.7 and Qwen3 Coder 480B A35B
BenchmarkMiniMax M2.7Qwen3 Coder 480B A35BLeader
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 Coder 480B A35B$0.0010Fits in one request

MiniMax M2.7 costs less

Repository review

50K input + 3K output tokens

MiniMax M2.7$0.019Fits in one request
Qwen3 Coder 480B A35B$0.019Fits in one request

MiniMax M2.7 costs less

Agent loop

200K input + 10K output tokens

MiniMax M2.7$0.072Exceeds the context window
Qwen3 Coder 480B A35B$0.075Fits 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 Coder 480B A35B
SpecificationMiniMax M2.7Qwen3 Coder 480B A35B
MakerMiniMaxQwen
WeightsOpen weightsOpen weights
ReleasedMarch 18, 2026July 23, 2025
Context window205K262K
Input $/Mtok$0.30$0.30
Output $/Mtok$1.20$1.50
Coding index36.2Not benchmarked
Independent measurements behind it31
Cost per solved task$0.64Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is MiniMax M2.7 better than Qwen3 Coder 480B A35B for coding?

Only MiniMax M2.7 has a coding score, 36.2 on the Vibe Coding Index; Qwen3 Coder 480B A35B has none, so the two cannot be ranked on coding. Pick Qwen3 Coder 480B A35B for a larger context window (262K against 205K tokens) and work measured by WeirdML or LMArena Text: Japanese, where it leads.

Which is cheaper, MiniMax M2.7 or Qwen3 Coder 480B A35B?

MiniMax M2.7 costs $0.30 per million input tokens and $1.20 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for MiniMax M2.7 only.

Which has the bigger context window, MiniMax M2.7 or Qwen3 Coder 480B A35B?

Qwen3 Coder 480B A35B, with 262K tokens against 205K.

How many benchmarks is the MiniMax M2.7 vs Qwen3 Coder 480B A35B comparison based on?

46 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 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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