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Qwen3.7 Plus vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads Qwen3.7 Plus on coding, 54.7 to 33.2 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 4.6x less per output token ($0.28 vs $1.28 per million). Updated October 21, 2026; 46 benchmarks have a result for both.

Qwen3.7 PlusQwen
Coding
33.2
Overall
54.0
Output $/M
$1.28
21
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
25
vs boards won of 46 shared

Qwen3.7 Plus or MiMo-V2.6-Flash: which to pick

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.

Pick Qwen3.7 Plus for work measured by Humanity's Last Exam (Artificial Analysis run) or LMArena Vision: diagrams, where it leads.

Shared results
46
Qwen3.7 Plus only
29
MiMo-V2.6-Flash only
20
Like-for-like categories
7 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-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Agentic work, 18.5 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Qwen3.7 Plus 46.4% against MiMo-V2.6-Flash 79.0%, 32.6 points apart on a 0 to 100 scale.
Output price
Qwen3.7 Plus $1.28 against MiMo-V2.6-Flash $0.28 per million output tokens, 4.6x apart.
Context window
Qwen3.7 Plus takes 1M tokens, MiMo-V2.6-Flash 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-V2.6-FlashTies
Coding06
Intelligence01
Agentic work04
Reasoning33
Math02
Knowledge31
General158
All shared boards2125
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Qwen3.7 Plus and MiMo-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
LMArena WebDevNot measured1634Only MiMo-V2.6-Flash measured
AA Coding Index55.9Not measuredOnly Qwen3.7 Plus measured
Terminal-Bench 4 (Vals AI)Not measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)46.4%79.0%MiMo-V2.6-Flash
Code migration (Vals AI)12.9%40.9%MiMo-V2.6-Flash
ProgramBench (Vals AI)Not measured0.5%Only MiMo-V2.6-Flash measured
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)52.8%76.4%MiMo-V2.6-Flash
SkillsBench (Vals AI)54.3%Not measuredOnly Qwen3.7 Plus measured
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCode46.1%51.3%MiMo-V2.6-Flash
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Qwen3.7 Plus measured
FrontierCode10.2%Not measuredOnly Qwen3.7 Plus measured
ALE-BenchNot measured1244.2Only MiMo-V2.6-Flash measured
LMArena Text: coding14731499MiMo-V2.6-Flash
LMArena Text: software and IT14731497MiMo-V2.6-Flash
LMArena WebDev: ReactNot measured1648Only MiMo-V2.6-Flash measured
LMArena WebDev: HTMLNot measured1641Only MiMo-V2.6-Flash measured
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.7 Plus and MiMo-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
AA Intelligence Index25.237.9MiMo-V2.6-Flash
Epoch Capabilities Index147.0Not measuredOnly Qwen3.7 Plus measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
Agentic work benchmarks for Qwen3.7 Plus and MiMo-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
AA Agentic Index17.5Not measuredOnly Qwen3.7 Plus measured
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)38.2%56.3%MiMo-V2.6-Flash
Tax Agent Bench (Vals AI)10.5%28.5%MiMo-V2.6-Flash
Legal Research Bench (Vals AI)16.4%38.0%MiMo-V2.6-Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)49.3%65.5%MiMo-V2.6-Flash
BioMysteryBench (Vals AI)Not measured69.3%Only MiMo-V2.6-Flash measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only MiMo-V2.6-Flash measured
Vals Science IndexNot measured31.7%Only MiMo-V2.6-Flash measured
τ²-Bench Telecom93.0%Not measuredOnly Qwen3.7 Plus measured
OSWorld 2.02.8%Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index33
Reasoning benchmarks for Qwen3.7 Plus and MiMo-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)90.0%Not measuredOnly Qwen3.7 Plus measured
Humanity's Last Exam (Artificial Analysis run)35.6%35.1%Qwen3.7 Plus
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 prompts14601475MiMo-V2.6-Flash
LMArena Text: expert14661496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14601493MiMo-V2.6-Flash
LMArena Vision: diagrams12921276Qwen3.7 Plus
LMArena Vision: homework12951283Qwen3.7 Plus
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-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
OTIS Mock AIME93.3%Not measuredOnly Qwen3.7 Plus measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Qwen3.7 Plus measured
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: math14671476MiMo-V2.6-Flash
LMArena Text: mathematical work14701478MiMo-V2.6-Flash
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index31
Knowledge benchmarks for Qwen3.7 Plus and MiMo-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
MortgageTax (Vals AI)66.2%Not measuredOnly Qwen3.7 Plus measured
MedCode (Vals AI)Not measured41.1%Only MiMo-V2.6-Flash measured
LMArena Text: science14641462Qwen3.7 Plus
LMArena Text: medicine and healthcare14641439Qwen3.7 Plus
LMArena Text: legal and government14511441Qwen3.7 Plus
LMArena Text: business and finance14351454MiMo-V2.6-Flash
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Qwen3.7 Plus and MiMo-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
Design Arena: websites1269Not measuredOnly Qwen3.7 Plus measured
Design Arena: UI components1261Not measuredOnly Qwen3.7 Plus measured
Design Arena: game dev1262Not measuredOnly Qwen3.7 Plus measured
Design Arena: data viz1276Not measuredOnly Qwen3.7 Plus measured
Design Arena: 3D1239Not measuredOnly Qwen3.7 Plus measured
Design Arena: all code categories1269Not measuredOnly Qwen3.7 Plus measured
Design Arena: SVG1208Not measuredOnly Qwen3.7 Plus measured
Design Arena: ASCII art1143Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index158
General benchmarks for Qwen3.7 Plus and MiMo-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
Vals IndexNot measured54.8%Only MiMo-V2.6-Flash measured
Public Benefits Bench (Vals AI)Not measured67.6%Only MiMo-V2.6-Flash measured
SAGE (Vals AI)39.3%43.5%MiMo-V2.6-Flash
MedScribe (Vals AI)Not measured85.3%Only MiMo-V2.6-Flash measured
Vals Multimodal Index53.9%Not measuredOnly Qwen3.7 Plus measured
IFBench78.0%Not measuredOnly Qwen3.7 Plus measured
Long context reasoning (AA-LCR)73.0%74.3%MiMo-V2.6-Flash
DTBench84.0%Not measuredOnly Qwen3.7 Plus measured
LMCA37.6%Not measuredOnly Qwen3.7 Plus measured
LMArena Text14541453Qwen3.7 Plus
LMArena Text: instruction following14391452MiMo-V2.6-Flash
LMArena Text: creative writing14381403Qwen3.7 Plus
LMArena Vision12781256Qwen3.7 Plus
LMArena Text: English14581476MiMo-V2.6-Flash
LMArena Text: non-English14451431Qwen3.7 Plus
LMArena Text: Chinese15091509Qwen3.7 Plus
LMArena Text: German14711458Qwen3.7 Plus
LMArena Text: Japanese14121359Qwen3.7 Plus
LMArena Text: Korean14131425MiMo-V2.6-Flash
LMArena Text: French14721480MiMo-V2.6-Flash
LMArena Text: Spanish14571453Qwen3.7 Plus
LMArena Text: Russian14571409Qwen3.7 Plus
LMArena Text: Polish14491455MiMo-V2.6-Flash
LMArena Text: multi-turn14591447Qwen3.7 Plus
LMArena Text: longer queries14541459MiMo-V2.6-Flash
LMArena Text: writing and language14371424Qwen3.7 Plus
LMArena Text: entertainment and media14221415Qwen3.7 Plus
LMArena Vision: English12801269Qwen3.7 Plus
LMArena Vision: Chinese1332Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: reading text12881270Qwen3.7 Plus
LMArena Vision: humor1261Not measuredOnly Qwen3.7 Plus measured
LMArena Vision: creative writing12581231Qwen3.7 Plus
LMArena Document1444Not measuredOnly Qwen3.7 Plus measured
Neither model has a result on the other 13 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-V2.6-Flash
BenchmarkQwen3.7 PlusMiMo-V2.6-FlashLeader
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-V2.6-Flash$0.0003Fits in one request

MiMo-V2.6-Flash costs less

Repository review

50K input + 3K output tokens

Qwen3.7 Plus$0.020Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

MiMo-V2.6-Flash costs less

Agent loop

200K input + 10K output tokens

Qwen3.7 Plus$0.077Fits in one request
MiMo-V2.6-Flash$0.031Fits in one request

MiMo-V2.6-Flash 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-V2.6-Flash
SpecificationQwen3.7 PlusXiaomi MiMo-V2.6-Flash
MakerQwenXiaomi
WeightsNo public weights listedOpen weights
ReleasedJune 3, 2026September 21, 2026
Context window1M1.05M
Input $/Mtok$0.32$0.14
Output $/Mtok$1.28$0.28
Coding index33.254.7
Independent measurements behind it23
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.7 Plus better than MiMo-V2.6-Flash for coding?

Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for work measured by Humanity's Last Exam (Artificial Analysis run) or LMArena Vision: diagrams, where it leads.

Which is cheaper, Qwen3.7 Plus or MiMo-V2.6-Flash?

Qwen3.7 Plus costs $0.32 per million input tokens and $1.28 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen3.7 Plus or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 1M.

How many benchmarks is the Qwen3.7 Plus vs MiMo-V2.6-Flash comparison based on?

46 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-V2.6-Flash's on 3. 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-v2-6-flash" title="Qwen3.7 Plus vs MiMo-V2.6-Flash, 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-v2-6-flash">LLMBenchmark.ai, Qwen3.7 Plus vs MiMo-V2.6-Flash</a></p>