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Qwen3.5 397B A17B vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads Qwen3.5 397B A17B on the Artificial Analysis Intelligence Index, 37.9 to 21.4, and MiMo-V2.6-Flash costs 8.4x less per output token ($0.28 vs $2.34 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace Qwen3.5 397B A17B Replace MiMo-V2.6-Flash
Qwen3.5 397B A17BQwen
Coding
No data
Overall
57.1
Output $/M
$2.34
9
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
33
vs boards won of 42 shared

Qwen3.5 397B A17B or MiMo-V2.6-Flash: which to pick

Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding.

Pick Qwen3.5 397B A17B for work measured by LMArena Vision: diagrams or LMArena Vision: homework, where it leads.

Model AQwen3.5 397B A17BQwenNot benchmarked1 independent benchmarkNo cost per solved taskModel BMiMo-V2.6-FlashXiaomi54.7/1003 independent benchmarksNo cost per solved task
Shared results
42
Qwen3.5 397B A17B only
24
MiMo-V2.6-Flash only
24
Like-for-like categories
6 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
Qwen3.5 397B A17B not benchmarked, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Coding, 19.9 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: React: Qwen3.5 397B A17B 1388 against MiMo-V2.6-Flash 1648, 35.4 points apart on a 0 to 100 scale.
Output price
Qwen3.5 397B A17B $2.34 against MiMo-V2.6-Flash $0.28 per million output tokens, 8.4x apart.
Context window
Qwen3.5 397B A17B takes 262K 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
CategoryQwen3.5 397B A17BBarsMiMo-V2.6-FlashTies
Coding07
Intelligence01
Reasoning24
Math02
Knowledge13
General616
All shared boards933
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-V2.6-FlashLeader
LMArena WebDev14001634MiMo-V2.6-Flash
Terminal-Bench 4 (Vals AI)Not measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)Not measured79.0%Only MiMo-V2.6-Flash measured
Code migration (Vals AI)Not measured40.9%Only MiMo-V2.6-Flash measured
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)Not measured76.4%Only MiMo-V2.6-Flash measured
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCode44.8%51.3%MiMo-V2.6-Flash
Terminal-Bench Hard (Artificial Analysis run)40.9%Not measuredOnly Qwen3.5 397B A17B measured
ALE-Bench621.91244.2MiMo-V2.6-Flash
LMArena Text: coding14641499MiMo-V2.6-Flash
LMArena Text: software and IT14631497MiMo-V2.6-Flash
LMArena WebDev: React13881648MiMo-V2.6-Flash
LMArena WebDev: HTML14101641MiMo-V2.6-Flash
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-V2.6-FlashLeader
AA Intelligence Index21.437.9MiMo-V2.6-Flash
Epoch Capabilities Index146.8Not measuredOnly Qwen3.5 397B A17B measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-V2.6-FlashLeader
SREBench (Vals AI)Not measured4.2%Only MiMo-V2.6-Flash measured
Finance Agent (Vals AI)Not measured56.3%Only MiMo-V2.6-Flash measured
Tax Agent Bench (Vals AI)Not measured28.5%Only MiMo-V2.6-Flash measured
Legal Research Bench (Vals AI)Not measured38.0%Only MiMo-V2.6-Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured13.3%Only MiMo-V2.6-Flash measured
Excel Modeling Benchmark (Vals AI)Not measured65.5%Only MiMo-V2.6-Flash measured
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 Telecom95.6%Not measuredOnly Qwen3.5 397B A17B measured
APEX-Agents24.9%Not measuredOnly Qwen3.5 397B A17B measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-V2.6-FlashLeader
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)89.3%Not measuredOnly Qwen3.5 397B A17B measured
Humanity's Last Exam (Artificial Analysis run)29.0%35.1%MiMo-V2.6-Flash
GPQA Diamond (Epoch AI run)86.4%Not measuredOnly Qwen3.5 397B A17B measured
Mystery game puzzles18.0%Not measuredOnly Qwen3.5 397B A17B measured
LMArena Text: hard prompts14481475MiMo-V2.6-Flash
LMArena Text: expert14621496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14501493MiMo-V2.6-Flash
LMArena Vision: diagrams12771276Qwen3.5 397B A17B
LMArena Vision: homework12921283Qwen3.5 397B A17B
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-V2.6-FlashLeader
OTIS Mock AIME88.9%Not measuredOnly Qwen3.5 397B A17B measured
FrontierMath, tiers 1 to 331.2%Not measuredOnly Qwen3.5 397B A17B measured
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: math14531476MiMo-V2.6-Flash
LMArena Text: mathematical work14541478MiMo-V2.6-Flash
MathArena19.2%Not measuredOnly Qwen3.5 397B A17B measured
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-V2.6-FlashLeader
MedCode (Vals AI)Not measured41.1%Only MiMo-V2.6-Flash measured
LMArena Text: science14571462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare14551439Qwen3.5 397B A17B
LMArena Text: legal and government14411441MiMo-V2.6-Flash
LMArena Text: business and finance14351454MiMo-V2.6-Flash
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-V2.6-FlashLeader
Design Arena: websites1190Not measuredOnly Qwen3.5 397B A17B measured
Design Arena: UI components1161Not measuredOnly Qwen3.5 397B A17B measured
Design Arena: game dev1140Not measuredOnly Qwen3.5 397B A17B measured
Design Arena: data viz1175Not measuredOnly Qwen3.5 397B A17B measured
Design Arena: 3D1160Not measuredOnly Qwen3.5 397B A17B measured
Design Arena: all code categories1179Not measuredOnly Qwen3.5 397B A17B measured
Design Arena: SVG1139Not measuredOnly Qwen3.5 397B A17B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index616
General benchmarks for Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-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)Not measured43.5%Only MiMo-V2.6-Flash measured
MedScribe (Vals AI)Not measured85.3%Only MiMo-V2.6-Flash measured
IFBench78.8%Not measuredOnly Qwen3.5 397B A17B measured
Long context reasoning (AA-LCR)77.3%74.3%Qwen3.5 397B A17B
DTBench87.5%Not measuredOnly Qwen3.5 397B A17B measured
LMCA37.9%Not measuredOnly Qwen3.5 397B A17B measured
LMArena Text14371453MiMo-V2.6-Flash
LMArena Text: instruction following14241452MiMo-V2.6-Flash
LMArena Text: creative writing14021403MiMo-V2.6-Flash
LMArena Vision12621256Qwen3.5 397B A17B
LMArena Text: English14431476MiMo-V2.6-Flash
LMArena Text: non-English14301431MiMo-V2.6-Flash
LMArena Text: Chinese14981509MiMo-V2.6-Flash
LMArena Text: German14451458MiMo-V2.6-Flash
LMArena Text: Japanese14291359Qwen3.5 397B A17B
LMArena Text: Korean13841425MiMo-V2.6-Flash
LMArena Text: French14621480MiMo-V2.6-Flash
LMArena Text: Spanish14411453MiMo-V2.6-Flash
LMArena Text: Russian14301409Qwen3.5 397B A17B
LMArena Text: Polish14471455MiMo-V2.6-Flash
LMArena Text: multi-turn14461447MiMo-V2.6-Flash
LMArena Text: longer queries14411459MiMo-V2.6-Flash
LMArena Text: writing and language14151424MiMo-V2.6-Flash
LMArena Text: entertainment and media13991415MiMo-V2.6-Flash
LMArena Vision: English12681269MiMo-V2.6-Flash
LMArena Vision: Chinese1314Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: reading text12711270Qwen3.5 397B A17B
LMArena Vision: humor1262Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: captioning1230Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: recognizing things1265Not measuredOnly Qwen3.5 397B A17B measured
LMArena Vision: creative writing12601231Qwen3.5 397B A17B
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 Qwen3.5 397B A17B and MiMo-V2.6-Flash
BenchmarkQwen3.5 397B A17BMiMo-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

Qwen3.5 397B A17B$0.0016Fits 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

Qwen3.5 397B A17B$0.027Fits 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

Qwen3.5 397B A17B$0.101Fits 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 Qwen3.5 397B A17B and MiMo-V2.6-Flash
SpecificationQwen3.5 397B A17BXiaomi MiMo-V2.6-Flash
MakerQwenXiaomi
WeightsOpen weightsOpen weights
ReleasedFebruary 16, 2026September 21, 2026
Context window262K1.05M
Input $/Mtok$0.39$0.14
Output $/Mtok$2.34$0.28
Coding indexNot benchmarked54.7
Independent measurements behind it13
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen3.5 397B A17B better than MiMo-V2.6-Flash for coding?

Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Qwen3.5 397B A17B has none, so the two cannot be ranked on coding. Pick Qwen3.5 397B A17B for work measured by LMArena Vision: diagrams or LMArena Vision: homework, where it leads.

Which is cheaper, Qwen3.5 397B A17B or MiMo-V2.6-Flash?

Qwen3.5 397B A17B costs $0.39 per million input tokens and $2.34 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, Qwen3.5 397B A17B or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 262K.

How many benchmarks is the Qwen3.5 397B A17B vs MiMo-V2.6-Flash comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. Qwen3.5 397B A17B's coding index rests on 1 independent benchmark 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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