Enter opens the highlighted result. Esc closes.

Hy3 vs MiMo-V2.6-Flash

Updated October 21, 2026. 35 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Hy3Tencent
Coding
43.9
Overall
No data
Output $/M
$0.528
7
MiMo-V2.6-FlashXiaomi
Coding
61.9
Overall
37.9
Output $/M
$0.28
28
vs boards won of 35 shared

Decision reading

Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 43.9 for Hy3.

Pick Hy3 when what matters is LMArena Text: mathematical work or LMArena Text: medicine and healthcare, where it leads.

Shared results
35
Hy3 only
9
MiMo-V2.6-Flash only
31
Like-for-like categories
5 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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
Hy3 43.9 from 1 benchmark, MiMo-V2.6-Flash 61.9 from 1 benchmark.
Widest category
Coding, 11.3 points apart on average over 7 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: Hy3 1487 against MiMo-V2.6-Flash 1641, 18.9 points apart on a 0 to 100 scale.
Output price
Hy3 $0.528 against MiMo-V2.6-Flash $0.28 per million output tokens, 1.9x apart.
Context window
Hy3 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
CategoryHy3BarsMiMo-V2.6-FlashTies
Coding07
Reasoning04
Math11
Knowledge13
General513
All shared boards728
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-V2.6-FlashLeader
LMArena WebDev15071634MiMo-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
SciCode48.6%51.3%MiMo-V2.6-Flash
ALE-Bench838.61244.2MiMo-V2.6-Flash
LMArena Text: coding14661499MiMo-V2.6-Flash
LMArena Text: software and IT14631497MiMo-V2.6-Flash
LMArena WebDev: React15111648MiMo-V2.6-Flash
LMArena WebDev: HTML14871641MiMo-V2.6-Flash
LMArena WebDev: from an imageNot measured1596Only MiMo-V2.6-Flash measured
Neither model has a result on the other 23 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-V2.6-FlashLeader
AA Intelligence IndexNot measured37.9Only MiMo-V2.6-Flash measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Agentic work benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-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
Neither model has a result on the other 30 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-V2.6-FlashLeader
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)89.7%Not measuredOnly Hy3 measured
Humanity's Last Exam (Artificial Analysis run)33.5%35.1%MiMo-V2.6-Flash
LMArena Text: hard prompts14471475MiMo-V2.6-Flash
LMArena Text: expert14611496MiMo-V2.6-Flash
LMArena Text: hard prompts in English14551493MiMo-V2.6-Flash
LMArena Vision: diagramsNot measured1276Only MiMo-V2.6-Flash measured
LMArena Vision: homeworkNot measured1283Only MiMo-V2.6-Flash measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index11
Math benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-V2.6-FlashLeader
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: math14731476MiMo-V2.6-Flash
LMArena Text: mathematical work14821478Hy3
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
Knowledge benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-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 healthcare14521439Hy3
LMArena Text: legal and government14221441MiMo-V2.6-Flash
LMArena Text: business and finance14241454MiMo-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 Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-V2.6-FlashLeader
Design Arena: websites1230Not measuredOnly Hy3 measured
Design Arena: UI components1205Not measuredOnly Hy3 measured
Design Arena: game dev1208Not measuredOnly Hy3 measured
Design Arena: data viz1163Not measuredOnly Hy3 measured
Design Arena: 3D1233Not measuredOnly Hy3 measured
Design Arena: all code categories1227Not measuredOnly Hy3 measured
Design Arena: SVG1199Not measuredOnly Hy3 measured
Design Arena: ASCII art1157Not measuredOnly Hy3 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index513
General benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-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
Long context reasoning (AA-LCR)79.0%74.3%Hy3
LMArena Text14381453MiMo-V2.6-Flash
LMArena Text: instruction following14261452MiMo-V2.6-Flash
LMArena Text: creative writing14031403Hy3
LMArena VisionNot measured1256Only MiMo-V2.6-Flash measured
LMArena Text: English14481476MiMo-V2.6-Flash
LMArena Text: non-English14261431MiMo-V2.6-Flash
LMArena Text: Chinese14851509MiMo-V2.6-Flash
LMArena Text: German14491458MiMo-V2.6-Flash
LMArena Text: Japanese13971359Hy3
LMArena Text: Korean13961425MiMo-V2.6-Flash
LMArena Text: French14561480MiMo-V2.6-Flash
LMArena Text: Spanish14571453Hy3
LMArena Text: Russian14321409Hy3
LMArena Text: Polish14471455MiMo-V2.6-Flash
LMArena Text: multi-turn14361447MiMo-V2.6-Flash
LMArena Text: longer queries14421459MiMo-V2.6-Flash
LMArena Text: writing and language14141424MiMo-V2.6-Flash
LMArena Text: entertainment and media14001415MiMo-V2.6-Flash
LMArena Vision: EnglishNot measured1269Only MiMo-V2.6-Flash measured
LMArena Vision: reading textNot measured1270Only MiMo-V2.6-Flash measured
LMArena Vision: creative writingNot measured1231Only MiMo-V2.6-Flash measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Hy3 and MiMo-V2.6-Flash
BenchmarkHy3MiMo-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

Hy3$0.0004Fits 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

Hy3$0.0082Fits 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

Hy3$0.032Fits 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 Hy3 and MiMo-V2.6-Flash
SpecificationTencent Hy3Xiaomi MiMo-V2.6-Flash
MakerTencentXiaomi
WeightsOpen weightsOpen weights
ReleasedJuly 6, 2026September 21, 2026
Context window262K1.05M
Input $/Mtok$0.132$0.14
Output $/Mtok$0.528$0.28
Coding index43.961.9
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Hy3 better than MiMo-V2.6-Flash for coding?

Pick MiMo-V2.6-Flash for coding: it scores 61.9 on the Vibe Coding Index against 43.9 for Hy3. Pick Hy3 when what matters is LMArena Text: mathematical work or LMArena Text: medicine and healthcare, where it leads.

Which is cheaper, Hy3 or MiMo-V2.6-Flash?

Hy3 costs $0.132 per million input tokens and $0.528 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, Hy3 or MiMo-V2.6-Flash?

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

How many benchmarks is the Hy3 vs MiMo-V2.6-Flash comparison based on?

35 benchmarks have a result for both models as of October 21, 2026. Hy3's coding index rests on 1 independent benchmark and MiMo-V2.6-Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next