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Hy4 vs MiMo-V2.6-Pro

MiMo-V2.6-Pro leads Hy4 on coding, 65.4 to 65.2 on the Vibe Coding Index, and MiMo-V2.6-Pro costs 1.4x less per output token ($0.87 vs $1.2505 per million). Updated November 5, 2026; 6 benchmarks have a result for both.

Hy4Tencent
Coding
65.2
Overall
No data
Output $/M
$1.2505
3
MiMo-V2.6-ProXiaomi
Coding
65.4
Overall
62.7
Output $/M
$0.87
3
vs boards won of 6 shared

Hy4 or MiMo-V2.6-Pro: which to pick

Hy4 and MiMo-V2.6-Pro are level for coding, 65.2 against 65.4 on the Vibe Coding Index, so price and context decide.

Pick Hy4 for work measured by Terminal-Bench 4 (Vals AI) or Tax Agent Bench (Vals AI), where it leads. Pick MiMo-V2.6-Pro for output tokens 1.4x cheaper ($0.87 vs $1.2505 per million) and a larger context window (1.05M against 1.05M tokens).

Shared results
6
Hy4 only
0
MiMo-V2.6-Pro only
69
Like-for-like categories
3 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
Hy4 65.2 from 2 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
Widest category
Coding, 7.5 points apart on average over 2 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): Hy4 39.4% against MiMo-V2.6-Pro 31.3%, 10.8 points apart on a 0 to 100 scale.
Output price
Hy4 $1.2505 against MiMo-V2.6-Pro $0.87 per million output tokens, 1.4x apart.
Context window
Hy4 takes 1.05M tokens, MiMo-V2.6-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
CategoryHy4BarsMiMo-V2.6-ProTies
Coding11
Agentic work12
General10
All shared boards33
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
LiveBench codingNot measured81.5%Only MiMo-V2.6-Pro measured
LMArena WebDevNot measured1625Only MiMo-V2.6-Pro measured
Terminal-Bench 4 (Vals AI)39.4%31.3%Hy4
Vibe Code Bench (Vals AI)81.0%85.2%MiMo-V2.6-Pro
Code migration (Vals AI)Not measured43.0%Only MiMo-V2.6-Pro measured
ProgramBench (Vals AI)Not measured0.5%Only MiMo-V2.6-Pro measured
IOI (Vals AI)Not measured39.3%Only MiMo-V2.6-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured67.8%Only MiMo-V2.6-Pro measured
SWE-bench Multimodal (Vals AI)Not measured41.3%Only MiMo-V2.6-Pro measured
CyberBench (Vals AI)Not measured72.9%Only MiMo-V2.6-Pro measured
SciCodeNot measured60.9%Only MiMo-V2.6-Pro measured
ALE-BenchNot measured1158.1Only MiMo-V2.6-Pro measured
LMArena Text: codingNot measured1534Only MiMo-V2.6-Pro measured
LMArena Text: software and ITNot measured1528Only MiMo-V2.6-Pro measured
LMArena WebDev: ReactNot measured1635Only MiMo-V2.6-Pro measured
LMArena WebDev: HTMLNot measured1624Only MiMo-V2.6-Pro measured
LMArena WebDev: from an imageNot measured1598Only MiMo-V2.6-Pro measured
GameBench 2Not measured71.3Only MiMo-V2.6-Pro measured
Neither model has a result on the other 32 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
AA Intelligence IndexNot measured29.9Only MiMo-V2.6-Pro measured
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
Agentic work benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
Design Arena: agents building web appsNot measured1277Only MiMo-V2.6-Pro measured
LiveBench researchNot measured76.7%Only MiMo-V2.6-Pro measured
LiveBench browserNot measured77.3%Only MiMo-V2.6-Pro measured
LiveBench long agenticNot measured35.2%Only MiMo-V2.6-Pro measured
SREBench (Vals AI)Not measured3.0%Only MiMo-V2.6-Pro measured
Finance Agent (Vals AI)Not measured57.3%Only MiMo-V2.6-Pro measured
Tax Agent Bench (Vals AI)34.4%32.4%Hy4
Legal Research Bench (Vals AI)41.4%47.1%MiMo-V2.6-Pro
Harvey's Legal Agent Benchmark (Vals AI)12.5%13.8%MiMo-V2.6-Pro
Excel Modeling Benchmark (Vals AI)Not measured62.9%Only MiMo-V2.6-Pro measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only MiMo-V2.6-Pro measured
APEX-AgentsNot measured54.4%Only MiMo-V2.6-Pro measured
Neither model has a result on the other 32 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Reasoning benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
LiveBench reasoningNot measured79.6%Only MiMo-V2.6-Pro measured
MysteryMechanism (Vals AI)Not measured15.3%Only MiMo-V2.6-Pro measured
Humanity's Last Exam (Artificial Analysis run)Not measured49.4%Only MiMo-V2.6-Pro measured
LMArena Text: hard promptsNot measured1511Only MiMo-V2.6-Pro measured
LMArena Text: expertNot measured1543Only MiMo-V2.6-Pro measured
LMArena Text: hard prompts in EnglishNot measured1520Only MiMo-V2.6-Pro measured
LMArena Vision: diagramsNot measured1281Only MiMo-V2.6-Pro measured
LMArena Vision: homeworkNot measured1264Only MiMo-V2.6-Pro measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
ProofBenchNot measured70.0%Only MiMo-V2.6-Pro measured
LMArena Text: mathNot measured1501Only MiMo-V2.6-Pro measured
LMArena Text: mathematical workNot measured1513Only MiMo-V2.6-Pro measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
MedCode (Vals AI)Not measured45.0%Only MiMo-V2.6-Pro measured
LMArena Text: scienceNot measured1506Only MiMo-V2.6-Pro measured
LMArena Text: medicine and healthcareNot measured1495Only MiMo-V2.6-Pro measured
LMArena Text: legal and governmentNot measured1485Only MiMo-V2.6-Pro measured
LMArena Text: business and financeNot measured1468Only MiMo-V2.6-Pro measured
Neither model has a result on the other 15 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
Design Arena: websitesNot measured1308Only MiMo-V2.6-Pro measured
Design Arena: UI componentsNot measured1336Only MiMo-V2.6-Pro measured
Design Arena: game devNot measured1315Only MiMo-V2.6-Pro measured
Design Arena: data vizNot measured1337Only MiMo-V2.6-Pro measured
Design Arena: 3DNot measured1333Only MiMo-V2.6-Pro measured
Design Arena: all code categoriesNot measured1315Only MiMo-V2.6-Pro measured
Design Arena: SVGNot measured1305Only MiMo-V2.6-Pro measured
LiveBench designNot measured78.5%Only MiMo-V2.6-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-ProLeader
Vals Index59.4%57.8%Hy4
LiveBench data analysisNot measured72.3%Only MiMo-V2.6-Pro measured
Public Benefits Bench (Vals AI)Not measured68.9%Only MiMo-V2.6-Pro measured
SAGE (Vals AI)Not measured84.5%Only MiMo-V2.6-Pro measured
MedScribe (Vals AI)Not measured88.3%Only MiMo-V2.6-Pro measured
Long context reasoning (AA-LCR)Not measured86.3%Only MiMo-V2.6-Pro measured
LMArena TextNot measured1491Only MiMo-V2.6-Pro measured
LMArena Text: instruction followingNot measured1492Only MiMo-V2.6-Pro measured
LMArena Text: creative writingNot measured1464Only MiMo-V2.6-Pro measured
LMArena VisionNot measured1263Only MiMo-V2.6-Pro measured
LMArena Text: EnglishNot measured1504Only MiMo-V2.6-Pro measured
LMArena Text: non-EnglishNot measured1474Only MiMo-V2.6-Pro measured
LMArena Text: ChineseNot measured1531Only MiMo-V2.6-Pro measured
LMArena Text: RussianNot measured1479Only MiMo-V2.6-Pro measured
LMArena Text: multi-turnNot measured1466Only MiMo-V2.6-Pro measured
LMArena Text: longer queriesNot measured1502Only MiMo-V2.6-Pro measured
LMArena Text: writing and languageNot measured1468Only MiMo-V2.6-Pro measured
LMArena Text: entertainment and mediaNot measured1465Only MiMo-V2.6-Pro measured
LMArena Vision: EnglishNot measured1268Only MiMo-V2.6-Pro measured
LMArena Vision: reading textNot measured1270Only MiMo-V2.6-Pro measured
Neither model has a result on the other 28 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Hy4 and MiMo-V2.6-Pro
BenchmarkHy4MiMo-V2.6-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

Hy4$0.0010Fits in one request
MiMo-V2.6-Pro$0.0009Fits in one request

MiMo-V2.6-Pro costs less

Repository review

50K input + 3K output tokens

Hy4$0.025Fits in one request
MiMo-V2.6-Pro$0.024Fits in one request

MiMo-V2.6-Pro costs less

Agent loop

200K input + 10K output tokens

Hy4$0.096Fits in one request
MiMo-V2.6-Pro$0.096Fits in one request

MiMo-V2.6-Pro 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 Hy4 and MiMo-V2.6-Pro
SpecificationTencent Hy4Xiaomi MiMo-V2.6-Pro
MakerTencentXiaomi
WeightsOpen weightsOpen weights
ReleasedNovember 4, 2026September 21, 2026
Context window1.05M1.05M
Input $/Mtok$0.417$0.435
Output $/Mtok$1.2505$0.87
Coding index65.265.4
Independent measurements behind it24
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Hy4 better than MiMo-V2.6-Pro for coding?

Hy4 and MiMo-V2.6-Pro are level for coding, 65.2 against 65.4 on the Vibe Coding Index, so price and context decide. Pick Hy4 for work measured by Terminal-Bench 4 (Vals AI) or Tax Agent Bench (Vals AI), where it leads. Pick MiMo-V2.6-Pro for output tokens 1.4x cheaper ($0.87 vs $1.2505 per million) and a larger context window (1.05M against 1.05M tokens).

Which is cheaper, Hy4 or MiMo-V2.6-Pro?

Hy4 costs $0.417 per million input tokens and $1.2505 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for neither of them.

Which has the bigger context window, Hy4 or MiMo-V2.6-Pro?

MiMo-V2.6-Pro, with 1.05M tokens against 1.05M.

How many benchmarks is the Hy4 vs MiMo-V2.6-Pro comparison based on?

6 benchmarks have a result for both models as of November 5, 2026. Hy4's coding index rests on 2 independent benchmarks and MiMo-V2.6-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/tencent-hy4-vs-xiaomi-mimo-v2-6-pro" title="Hy4 vs MiMo-V2.6-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/tencent-hy4-vs-xiaomi-mimo-v2-6-pro">LLMBenchmark.ai, Hy4 vs MiMo-V2.6-Pro</a></p>