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Qwen3.6 Plus vs MiMo-V2.5-Pro

Qwen3.6 Plus leads MiMo-V2.5-Pro on coding, 44.1 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 2.1x less per output token ($0.9152 vs $1.95 per million). Updated October 22, 2026; 66 benchmarks have a result for both.

Qwen3.6 PlusQwen
Coding
44.1
Overall
56.2
Output $/M
$1.95
12
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
54
vs boards won of 66 shared

Qwen3.6 Plus or MiMo-V2.5-Pro: which to pick

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4.

Pick MiMo-V2.5-Pro for output tokens 2.1x cheaper ($0.9152 vs $1.95 per million) and a lower cost per solved task ($0.03 against $1.19).

Shared results
66
Qwen3.6 Plus only
17
MiMo-V2.5-Pro only
4
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
Qwen3.6 Plus 44.1 from 3 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Agentic work, 6.3 points apart on average over 5 shared benchmarks.
Widest single gap
Excel Modeling Benchmark (Vals AI): Qwen3.6 Plus 32.9% against MiMo-V2.5-Pro 55.2%, 22.4 points apart on a 0 to 100 scale.
Output price
Qwen3.6 Plus $1.95 against MiMo-V2.5-Pro $0.9152 per million output tokens, 2.1x apart.
Context window
Qwen3.6 Plus takes 1M tokens, MiMo-V2.5-Pro 1.05M.

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
CategoryQwen3.6 PlusBarsMiMo-V2.5-ProTies
Coding211
Intelligence10
Agentic work14
Reasoning24
Math02
Knowledge54
Web design08
General121
All shared boards1254
CodingLike-for-likeSix of these boards feed the Vibe Coding Index211
Coding benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
LMArena WebDev14611480MiMo-V2.5-Pro
AA Coding Index54.560.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)86.0%81.3%Qwen3.6 Plus
SWE-bench Verified (Vals AI)73.4%74.0%MiMo-V2.5-Pro
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)25.6%34.1%MiMo-V2.5-Pro
Code migration (Vals AI)11.1%21.6%MiMo-V2.5-Pro
ProgramBench (Vals AI)0.0%Not measuredOnly Qwen3.6 Plus measured
Terminal-Bench 2.1 (Vals AI)53.2%57.3%MiMo-V2.5-Pro
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)43.9%43.2%Qwen3.6 Plus
ALE-Bench670.1899.8MiMo-V2.5-Pro
LMArena Text: coding14671501MiMo-V2.5-Pro
LMArena Text: software and IT14621495MiMo-V2.5-Pro
LMArena WebDev: React14541469MiMo-V2.5-Pro
LMArena WebDev: HTML14631473MiMo-V2.5-Pro
LMArena WebDev: from an image1472Not measuredOnly Qwen3.6 Plus measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
AA Intelligence Index27.026.0Qwen3.6 Plus
Epoch Capabilities Index147.3Not measuredOnly Qwen3.6 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
Agentic work benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
Finance Agent (Vals AI)40.9%41.5%MiMo-V2.5-Pro
Tax Agent Bench (Vals AI)7.7%11.5%MiMo-V2.5-Pro
Legal Research Bench (Vals AI)14.9%15.9%MiMo-V2.5-Pro
Excel Modeling Benchmark (Vals AI)32.9%55.2%MiMo-V2.5-Pro
τ²-Bench Telecom97.7%94.2%Qwen3.6 Plus
Vending-Bench 2$5,115Not measuredOnly Qwen3.6 Plus measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
GPQA Diamond87.4%82.6%Qwen3.6 Plus
MMMU Pro (Vals AI)84.2%Not measuredOnly Qwen3.6 Plus measured
GPQA Diamond (Artificial Analysis run)88.2%86.6%Qwen3.6 Plus
Humanity's Last Exam (Artificial Analysis run)27.8%35.7%MiMo-V2.5-Pro
GPQA Diamond (Epoch AI run)88.4%Not measuredOnly Qwen3.6 Plus measured
Chess puzzles14.0%Not measuredOnly Qwen3.6 Plus measured
Mystery game puzzles12.0%Not measuredOnly Qwen3.6 Plus measured
LMArena Text: hard prompts14481486MiMo-V2.5-Pro
LMArena Text: expert14541501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14551494MiMo-V2.5-Pro
Neither model has a result on the other 12 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
AIME94.6%Not measuredOnly Qwen3.6 Plus measured
OTIS Mock AIME93.3%Not measuredOnly Qwen3.6 Plus measured
FrontierMath, tiers 1 to 338.2%Not measuredOnly Qwen3.6 Plus measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math14491481MiMo-V2.5-Pro
LMArena Text: mathematical work14481491MiMo-V2.5-Pro
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index54
Knowledge benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
MMLU Pro87.7%84.6%Qwen3.6 Plus
LegalBench (Vals AI)84.2%77.1%Qwen3.6 Plus
CaseLaw (Vals AI)51.5%Not measuredOnly Qwen3.6 Plus measured
CorpFin (Vals AI)61.9%61.4%Qwen3.6 Plus
TaxEval (Vals AI)74.7%73.8%Qwen3.6 Plus
MortgageTax (Vals AI)68.0%Not measuredOnly Qwen3.6 Plus measured
MedCode (Vals AI)36.9%32.5%Qwen3.6 Plus
SimpleQA Verified44.1%Not measuredOnly Qwen3.6 Plus measured
LMArena Text: science14391482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14421473MiMo-V2.5-Pro
LMArena Text: legal and government14371474MiMo-V2.5-Pro
LMArena Text: business and finance14301466MiMo-V2.5-Pro
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
Design Arena: websites12431266MiMo-V2.5-Pro
Design Arena: UI components12301246MiMo-V2.5-Pro
Design Arena: game dev12111261MiMo-V2.5-Pro
Design Arena: data viz12281257MiMo-V2.5-Pro
Design Arena: 3D12021243MiMo-V2.5-Pro
Design Arena: all code categories12361265MiMo-V2.5-Pro
Design Arena: SVG11611181MiMo-V2.5-Pro
Design Arena: ASCII art11131156MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
SAGE (Vals AI)44.9%Not measuredOnly Qwen3.6 Plus measured
MedScribe (Vals AI)77.0%83.7%MiMo-V2.5-Pro
Vals Multimodal Index51.5%Not measuredOnly Qwen3.6 Plus measured
IFBench75.2%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)78.3%79.7%MiMo-V2.5-Pro
DTBench81.9%84.5%MiMo-V2.5-Pro
LMCA33.1%29.5%Qwen3.6 Plus
CL-bench20.3%Not measuredOnly Qwen3.6 Plus measured
LMArena Text14361464MiMo-V2.5-Pro
LMArena Text: instruction following14241475MiMo-V2.5-Pro
LMArena Text: creative writing14041438MiMo-V2.5-Pro
LMArena Text: English14451477MiMo-V2.5-Pro
LMArena Text: non-English14241448MiMo-V2.5-Pro
LMArena Text: Chinese14771507MiMo-V2.5-Pro
LMArena Text: German14511459MiMo-V2.5-Pro
LMArena Text: Japanese13901410MiMo-V2.5-Pro
LMArena Text: Korean13791435MiMo-V2.5-Pro
LMArena Text: French14551487MiMo-V2.5-Pro
LMArena Text: Spanish14321469MiMo-V2.5-Pro
LMArena Text: Russian14341449MiMo-V2.5-Pro
LMArena Text: Polish14331464MiMo-V2.5-Pro
LMArena Text: multi-turn14381476MiMo-V2.5-Pro
LMArena Text: longer queries14391481MiMo-V2.5-Pro
LMArena Text: writing and language14181451MiMo-V2.5-Pro
LMArena Text: entertainment and media14021438MiMo-V2.5-Pro
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.6 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.6 PlusMiMo-V2.5-ProLeader
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

Qwen3.6 Plus$0.0013Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

Qwen3.6 Plus$0.022Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

Qwen3.6 Plus costs less

Agent loop

200K input + 10K output tokens

Qwen3.6 Plus$0.085Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

Qwen3.6 Plus 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 Qwen3.6 Plus and MiMo-V2.5-Pro
SpecificationQwen3.6 PlusXiaomi MiMo-V2.5-Pro
MakerQwenXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 2, 2026April 22, 2026
Context window1M1.05M
Input $/Mtok$0.325$0.4575
Output $/Mtok$1.95$0.9152
Coding index44.131.6
Independent measurements behind it34
Cost per solved task$1.19$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.6 Plus better than MiMo-V2.5-Pro for coding?

Pick Qwen3.6 Plus for coding: it scores 44.1 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4. Pick MiMo-V2.5-Pro for output tokens 2.1x cheaper ($0.9152 vs $1.95 per million) and a lower cost per solved task ($0.03 against $1.19).

Which is cheaper, Qwen3.6 Plus or MiMo-V2.5-Pro?

Qwen3.6 Plus costs $0.325 per million input tokens and $1.95 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, Qwen3.6 Plus costs $1.19 and MiMo-V2.5-Pro $0.03.

Which has the bigger context window, Qwen3.6 Plus or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 1M.

How many benchmarks is the Qwen3.6 Plus vs MiMo-V2.5-Pro comparison based on?

66 benchmarks have a result for both models as of October 22, 2026. Qwen3.6 Plus's coding index rests on 3 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/qwen3-6-plus-vs-xiaomi-mimo-v2-5-pro" title="Qwen3.6 Plus vs MiMo-V2.5-Pro, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/qwen3-6-plus-vs-xiaomi-mimo-v2-5-pro">LLMBenchmark.ai, Qwen3.6 Plus vs MiMo-V2.5-Pro</a></p>