Enter opens the highlighted result. Esc closes.

Kimi K2.7 Code vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads Kimi K2.7 Code on coding, 54.7 to 53.4 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 14.3x less per output token ($0.28 vs $4.00 per million). Updated October 21, 2026; 13 benchmarks have a result for both.

Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
1
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
12
vs boards won of 13 shared

Kimi K2.7 Code or MiMo-V2.6-Flash: which to pick

Kimi K2.7 Code and MiMo-V2.6-Flash are level for coding, 53.4 against 54.7 on the Vibe Coding Index, so price and context decide.

Pick Kimi K2.7 Code for work measured by Long context reasoning (AA-LCR), where it leads. Pick MiMo-V2.6-Flash for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Shared results
13
Kimi K2.7 Code only
38
MiMo-V2.6-Flash only
53
Like-for-like categories
4 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
Kimi K2.7 Code 53.4 from 4 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Coding, 15.5 points apart on average over 10 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against MiMo-V2.6-Flash 79.0%, 31.7 points apart on a 0 to 100 scale.
Output price
Kimi K2.7 Code $4.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 14.3x apart.
Context window
Kimi K2.7 Code 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
CategoryKimi K2.7 CodeBarsMiMo-V2.6-FlashTies
Coding010
Intelligence01
Reasoning01
General10
All shared boards112
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-V2.6-FlashLeader
LMArena WebDev14741634MiMo-V2.6-Flash
AA Coding Index60.8Not measuredOnly Kimi K2.7 Code measured
LiveCodeBench (Vals AI)82.0%Not measuredOnly Kimi K2.7 Code measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Kimi K2.7 Code measured
Terminal-Bench 4 (Vals AI)Not measured24.2%Only MiMo-V2.6-Flash measured
Vibe Code Bench (Vals AI)47.2%79.0%MiMo-V2.6-Flash
Code migration (Vals AI)25.4%40.9%MiMo-V2.6-Flash
ProgramBench (Vals AI)0.0%0.5%MiMo-V2.6-Flash
IOI (Vals AI)Not measured47.7%Only MiMo-V2.6-Flash measured
Terminal-Bench 2.1 (Vals AI)67.0%76.4%MiMo-V2.6-Flash
SkillsBench (Vals AI)50.0%Not measuredOnly Kimi K2.7 Code measured
CyberBench (Vals AI)Not measured75.4%Only MiMo-V2.6-Flash measured
SciCode47.8%51.3%MiMo-V2.6-Flash
Terminal-Bench Hard (Artificial Analysis run)44.7%Not measuredOnly Kimi K2.7 Code measured
FrontierCode30.1%Not measuredOnly Kimi K2.7 Code measured
WeirdML54.1%Not measuredOnly Kimi K2.7 Code measured
ALE-Bench886.21244.2MiMo-V2.6-Flash
LMArena Text: codingNot measured1499Only MiMo-V2.6-Flash measured
LMArena Text: software and ITNot measured1497Only MiMo-V2.6-Flash measured
LMArena WebDev: React14751648MiMo-V2.6-Flash
LMArena WebDev: HTML14511641MiMo-V2.6-Flash
LMArena WebDev: from an image15131596MiMo-V2.6-Flash
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-V2.6-FlashLeader
AA Intelligence Index25.837.9MiMo-V2.6-Flash
Epoch Capabilities Index150.1Not measuredOnly Kimi K2.7 Code measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-V2.6-FlashLeader
AA Agentic Index21.0Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building web apps1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building full-stack apps1175Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building mobile apps1143Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Android apps1137Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Godot games1147Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building games1131Not measuredOnly Kimi K2.7 Code measured
Design Arena: HTML slides1201Not measuredOnly Kimi K2.7 Code measured
Design Arena: PowerPoint slides1154Not measuredOnly Kimi K2.7 Code measured
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 Telecom90.1%Not measuredOnly Kimi K2.7 Code measured
APEX-Agents37.6%Not measuredOnly Kimi K2.7 Code measured
Vending-Bench 2$5,083Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-V2.6-FlashLeader
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Kimi K2.7 Code measured
Humanity's Last Exam (Artificial Analysis run)35.0%35.1%MiMo-V2.6-Flash
GPQA Diamond (Epoch AI run)87.9%Not measuredOnly Kimi K2.7 Code measured
SimpleBench57.9%Not measuredOnly Kimi K2.7 Code measured
Chess puzzles14.0%Not measuredOnly Kimi K2.7 Code measured
LMArena Text: hard promptsNot measured1475Only MiMo-V2.6-Flash measured
LMArena Text: expertNot measured1496Only MiMo-V2.6-Flash measured
LMArena Text: hard prompts in EnglishNot measured1493Only MiMo-V2.6-Flash measured
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 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-V2.6-FlashLeader
OTIS Mock AIME95.6%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tiers 1 to 354.0%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tier 412.2%Not measuredOnly Kimi K2.7 Code measured
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: mathNot measured1476Only MiMo-V2.6-Flash measured
LMArena Text: mathematical workNot measured1478Only MiMo-V2.6-Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-V2.6-FlashLeader
MedCode (Vals AI)Not measured41.1%Only MiMo-V2.6-Flash measured
SimpleQA Verified36.5%Not measuredOnly Kimi K2.7 Code measured
LMArena Text: scienceNot measured1462Only MiMo-V2.6-Flash measured
LMArena Text: medicine and healthcareNot measured1439Only MiMo-V2.6-Flash measured
LMArena Text: legal and governmentNot measured1441Only MiMo-V2.6-Flash measured
LMArena Text: business and financeNot measured1454Only MiMo-V2.6-Flash measured
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 Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-V2.6-FlashLeader
Design Arena: websites1264Not measuredOnly Kimi K2.7 Code measured
Design Arena: UI components1259Not measuredOnly Kimi K2.7 Code measured
Design Arena: game dev1220Not measuredOnly Kimi K2.7 Code measured
Design Arena: data viz1227Not measuredOnly Kimi K2.7 Code measured
Design Arena: 3D1241Not measuredOnly Kimi K2.7 Code measured
Design Arena: all code categories1253Not measuredOnly Kimi K2.7 Code measured
Design Arena: SVG1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: ASCII art1196Not measuredOnly Kimi K2.7 Code 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 Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-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
IFBench63.1%Not measuredOnly Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%74.3%Kimi K2.7 Code
Surface Evolver Bench48.8%Not measuredOnly Kimi K2.7 Code measured
LMArena TextNot measured1453Only MiMo-V2.6-Flash measured
LMArena Text: instruction followingNot measured1452Only MiMo-V2.6-Flash measured
LMArena Text: creative writingNot measured1403Only MiMo-V2.6-Flash measured
LMArena VisionNot measured1256Only MiMo-V2.6-Flash measured
LMArena Text: EnglishNot measured1476Only MiMo-V2.6-Flash measured
LMArena Text: non-EnglishNot measured1431Only MiMo-V2.6-Flash measured
LMArena Text: ChineseNot measured1509Only MiMo-V2.6-Flash measured
LMArena Text: GermanNot measured1458Only MiMo-V2.6-Flash measured
LMArena Text: JapaneseNot measured1359Only MiMo-V2.6-Flash measured
LMArena Text: KoreanNot measured1425Only MiMo-V2.6-Flash measured
LMArena Text: FrenchNot measured1480Only MiMo-V2.6-Flash measured
LMArena Text: SpanishNot measured1453Only MiMo-V2.6-Flash measured
LMArena Text: RussianNot measured1409Only MiMo-V2.6-Flash measured
LMArena Text: PolishNot measured1455Only MiMo-V2.6-Flash measured
LMArena Text: multi-turnNot measured1447Only MiMo-V2.6-Flash measured
LMArena Text: longer queriesNot measured1459Only MiMo-V2.6-Flash measured
LMArena Text: writing and languageNot measured1424Only MiMo-V2.6-Flash measured
LMArena Text: entertainment and mediaNot measured1415Only MiMo-V2.6-Flash measured
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 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.7 Code and MiMo-V2.6-Flash
BenchmarkKimi K2.7 CodeMiMo-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

Kimi K2.7 Code$0.0029Fits 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

Kimi K2.7 Code$0.059Fits 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

Kimi K2.7 Code$0.230Fits 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 Kimi K2.7 Code and MiMo-V2.6-Flash
SpecificationMoonshotAI Kimi K2.7 CodeXiaomi MiMo-V2.6-Flash
MakerMoonshot AIXiaomi
WeightsOpen weightsOpen weights
ReleasedJune 12, 2026September 21, 2026
Context window262K1.05M
Input $/Mtok$0.95$0.14
Output $/Mtok$4.00$0.28
Coding index53.454.7
Independent measurements behind it43
Cost per solved task$0.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than MiMo-V2.6-Flash for coding?

Kimi K2.7 Code and MiMo-V2.6-Flash are level for coding, 53.4 against 54.7 on the Vibe Coding Index, so price and context decide. Pick Kimi K2.7 Code for work measured by Long context reasoning (AA-LCR), where it leads. Pick MiMo-V2.6-Flash for output tokens 14.3x cheaper ($0.28 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, Kimi K2.7 Code or MiMo-V2.6-Flash?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for Kimi K2.7 Code only.

Which has the bigger context window, Kimi K2.7 Code or MiMo-V2.6-Flash?

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

How many benchmarks is the Kimi K2.7 Code vs MiMo-V2.6-Flash comparison based on?

13 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 4 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.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/kimi-k2-7-code-vs-xiaomi-mimo-v2-6-flash" title="Kimi K2.7 Code 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/kimi-k2-7-code-vs-xiaomi-mimo-v2-6-flash">LLMBenchmark.ai, Kimi K2.7 Code vs MiMo-V2.6-Flash</a></p>