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Qwen3.7 Plus vs MiMo-V2.5-Pro

Qwen3.7 Plus leads MiMo-V2.5-Pro on coding, 33.2 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 1.4x less per output token ($0.9152 vs $1.28 per million). Updated October 21, 2026; 55 benchmarks have a result for both.

Replace Qwen3.7 Plus Replace MiMo-V2.5-Pro
Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
14
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
40
vs boards won of 55 shared, 1 tied

Qwen3.7 Plus or MiMo-V2.5-Pro: which to pick

Qwen3.7 Plus and MiMo-V2.5-Pro are level for coding, 33.2 against 31.6 on the Vibe Coding Index, so price and context decide.

Pick MiMo-V2.5-Pro for output tokens 1.4x cheaper ($0.9152 vs $1.28 per million) and a larger context window (1.05M against 1M tokens). Pick Qwen3.7 Plus for work measured by Vibe Code Bench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model AQwen3.7 PlusQwen33.2/1002 independent benchmarksNo cost per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
55
Qwen3.7 Plus only
20
MiMo-V2.5-Pro only
15
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
Qwen3.7 Plus 33.2 from 2 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Coding, 5.8 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Qwen3.7 Plus 46.4% against MiMo-V2.5-Pro 34.1%, 12.3 points apart on a 0 to 100 scale.
Output price
Qwen3.7 Plus $1.28 against MiMo-V2.5-Pro $0.9152 per million output tokens, 1.4x apart.
Context window
Qwen3.7 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
CategoryQwen3.7 PlusBarsMiMo-V2.5-ProTies
Coding26
Intelligence01
Agentic work15
Reasoning14
Math02
Knowledge04
Web design521 tie
General516
All shared boards14401 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index26
Coding benchmarks for Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
LMArena WebDevNot measured1480Only MiMo-V2.5-Pro measured
AA Coding Index55.960.2MiMo-V2.5-Pro
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)46.4%34.1%Qwen3.7 Plus
Code migration (Vals AI)12.9%21.6%MiMo-V2.5-Pro
Terminal-Bench 2.1 (Vals AI)52.8%57.3%MiMo-V2.5-Pro
SkillsBench (Vals AI)54.3%Not measuredOnly Qwen3.7 Plus measured
SciCode46.1%50.6%MiMo-V2.5-Pro
Terminal-Bench Hard (Artificial Analysis run)47.0%43.2%Qwen3.7 Plus
FrontierCode10.2%Not measuredOnly Qwen3.7 Plus measured
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding14731501MiMo-V2.5-Pro
LMArena Text: software and IT14731495MiMo-V2.5-Pro
LMArena WebDev: ReactNot measured1469Only MiMo-V2.5-Pro measured
LMArena WebDev: HTMLNot measured1473Only MiMo-V2.5-Pro measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
AA Intelligence Index25.226.0MiMo-V2.5-Pro
Epoch Capabilities Index147.0Not measuredOnly Qwen3.7 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index15
Agentic work benchmarks for Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
AA Agentic Index17.521.3MiMo-V2.5-Pro
Finance Agent (Vals AI)38.2%41.5%MiMo-V2.5-Pro
Tax Agent Bench (Vals AI)10.5%11.5%MiMo-V2.5-Pro
Legal Research Bench (Vals AI)16.4%15.9%Qwen3.7 Plus
Excel Modeling Benchmark (Vals AI)49.3%55.2%MiMo-V2.5-Pro
τ²-Bench Telecom93.0%94.2%MiMo-V2.5-Pro
OSWorld 2.02.8%Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 34 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
Reasoning benchmarks for Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)90.0%86.6%Qwen3.7 Plus
Humanity's Last Exam (Artificial Analysis run)35.6%35.7%MiMo-V2.5-Pro
GPQA Diamond (Epoch AI run)87.9%Not measuredOnly Qwen3.7 Plus measured
Mystery game puzzles17.0%Not measuredOnly Qwen3.7 Plus measured
LMArena Text: hard prompts14601486MiMo-V2.5-Pro
LMArena Text: expert14661501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14601494MiMo-V2.5-Pro
LMArena Vision: diagrams1292Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: homework1295Not measuredOnly Qwen3.7 Plus measured
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 Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
OTIS Mock AIME93.3%Not measuredOnly Qwen3.7 Plus measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Qwen3.7 Plus measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math14671481MiMo-V2.5-Pro
LMArena Text: mathematical work14701491MiMo-V2.5-Pro
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 Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
MMLU ProNot measured84.6%Only MiMo-V2.5-Pro measured
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)Not measured73.8%Only MiMo-V2.5-Pro measured
MortgageTax (Vals AI)66.2%Not measuredOnly Qwen3.7 Plus measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science14641482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14641473MiMo-V2.5-Pro
LMArena Text: legal and government14511474MiMo-V2.5-Pro
LMArena Text: business and finance14351466MiMo-V2.5-Pro
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index52
Web design benchmarks for Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
Design Arena: websites12691267Qwen3.7 Plus
Design Arena: UI components12611249Qwen3.7 Plus
Design Arena: game dev12621262Tie
Design Arena: data viz12761257Qwen3.7 Plus
Design Arena: 3D12391244MiMo-V2.5-Pro
Design Arena: all code categories12691266Qwen3.7 Plus
Design Arena: SVG12081181Qwen3.7 Plus
Design Arena: ASCII art11431156MiMo-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 index516
General benchmarks for Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 PlusMiMo-V2.5-ProLeader
SAGE (Vals AI)39.3%Not measuredOnly Qwen3.7 Plus measured
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
Vals Multimodal Index53.9%Not measuredOnly Qwen3.7 Plus measured
IFBench78.0%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)73.0%79.7%MiMo-V2.5-Pro
DTBench84.0%84.5%MiMo-V2.5-Pro
LMCA37.6%29.5%Qwen3.7 Plus
LMArena Text14541464MiMo-V2.5-Pro
LMArena Text: instruction following14391475MiMo-V2.5-Pro
LMArena Text: creative writing14381438MiMo-V2.5-Pro
LMArena Vision1278Not measuredOnly Qwen3.7 Plus measured
LMArena Text: English14581477MiMo-V2.5-Pro
LMArena Text: non-English14451448MiMo-V2.5-Pro
LMArena Text: Chinese15091507Qwen3.7 Plus
LMArena Text: German14711459Qwen3.7 Plus
LMArena Text: Japanese14121410Qwen3.7 Plus
LMArena Text: Korean14131435MiMo-V2.5-Pro
LMArena Text: French14721487MiMo-V2.5-Pro
LMArena Text: Spanish14571469MiMo-V2.5-Pro
LMArena Text: Russian14571449Qwen3.7 Plus
LMArena Text: Polish14491464MiMo-V2.5-Pro
LMArena Text: multi-turn14591476MiMo-V2.5-Pro
LMArena Text: longer queries14541481MiMo-V2.5-Pro
LMArena Text: writing and language14371451MiMo-V2.5-Pro
LMArena Text: entertainment and media14221438MiMo-V2.5-Pro
LMArena Vision: English1280Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: Chinese1332Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: reading text1288Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: humor1261Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: creative writing1258Not measuredOnly Qwen3.7 Plus measured
LMArena Document1444Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Qwen3.7 Plus and MiMo-V2.5-Pro
BenchmarkQwen3.7 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

Qwen3.7 Plus$0.0010Fits 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

Qwen3.7 Plus$0.020Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

Qwen3.7 Plus costs less

Agent loop

200K input + 10K output tokens

Qwen3.7 Plus$0.077Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

Qwen3.7 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 Qwen3.7 Plus and MiMo-V2.5-Pro
SpecificationQwen3.7 PlusXiaomi MiMo-V2.5-Pro
MakerQwenXiaomi
WeightsNo public weights listedOpen weights
ReleasedJune 3, 2026April 22, 2026
Context window1M1.05M
Input $/Mtok$0.32$0.4575
Output $/Mtok$1.28$0.9152
Coding index33.231.6
Independent measurements behind it24
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.7 Plus better than MiMo-V2.5-Pro for coding?

Qwen3.7 Plus and MiMo-V2.5-Pro are level for coding, 33.2 against 31.6 on the Vibe Coding Index, so price and context decide. Pick MiMo-V2.5-Pro for output tokens 1.4x cheaper ($0.9152 vs $1.28 per million) and a larger context window (1.05M against 1M tokens). Pick Qwen3.7 Plus for work measured by Vibe Code Bench (Vals AI) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Qwen3.7 Plus or MiMo-V2.5-Pro?

Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, Qwen3.7 Plus or MiMo-V2.5-Pro?

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

How many benchmarks is the Qwen3.7 Plus vs MiMo-V2.5-Pro comparison based on?

55 benchmarks have a result for both models as of October 21, 2026. Qwen3.7 Plus's coding index rests on 2 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/qwen3-7-plus-vs-xiaomi-mimo-v2-5-pro" title="Qwen3.7 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/qwen3-7-plus-vs-xiaomi-mimo-v2-5-pro">LLMBenchmark.ai, Qwen3.7 Plus vs MiMo-V2.5-Pro</a></p>