Enter opens the highlighted result. Esc closes.

GLM 4.7 Flash vs MiMo-V2.6-Flash

MiMo-V2.6-Flash leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 37.9 to 14.9, and MiMo-V2.6-Flash costs 1.4x less per output token ($0.28 vs $0.40 per million). Updated October 21, 2026; 30 benchmarks have a result for both.

Replace GLM 4.7 Flash Replace MiMo-V2.6-Flash
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
0
MiMo-V2.6-FlashXiaomi
Coding
54.7
Overall
60.8
Output $/M
$0.28
30
vs boards won of 30 shared

GLM 4.7 Flash or MiMo-V2.6-Flash: which to pick

Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiMo-V2.6-FlashXiaomi54.7/1003 independent benchmarksNo cost per solved task
Shared results
30
GLM 4.7 Flash only
13
MiMo-V2.6-Flash only
36
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
GLM 4.7 Flash not benchmarked, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
Widest category
Intelligence, 23.0 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.7 Flash 41.7% against MiMo-V2.6-Flash 74.3%, 32.7 points apart on a 0 to 100 scale.
Output price
GLM 4.7 Flash $0.40 against MiMo-V2.6-Flash $0.28 per million output tokens, 1.4x apart.
Context window
GLM 4.7 Flash takes 200K 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
CategoryGLM 4.7 FlashBarsMiMo-V2.6-FlashTies
Coding02
Intelligence01
Reasoning04
Math02
Knowledge04
General017
All shared boards030
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-V2.6-FlashLeader
LMArena WebDevNot measured1634Only MiMo-V2.6-Flash measured
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
SciCodeNot measured51.3%Only MiMo-V2.6-Flash measured
Terminal-Bench Hard (Artificial Analysis run)22.0%Not measuredOnly GLM 4.7 Flash measured
ALE-BenchNot measured1244.2Only MiMo-V2.6-Flash measured
LMArena Text: coding13821499MiMo-V2.6-Flash
LMArena Text: software and IT13891497MiMo-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 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-V2.6-FlashLeader
AA Intelligence Index14.937.9MiMo-V2.6-Flash
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Agentic work benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-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 Telecom98.8%Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
Reasoning benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-V2.6-FlashLeader
MysteryMechanism (Vals AI)Not measured21.6%Only MiMo-V2.6-Flash measured
GPQA Diamond (Artificial Analysis run)58.1%Not measuredOnly GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)7.6%35.1%MiMo-V2.6-Flash
GPQA Diamond (Epoch AI run)60.5%Not measuredOnly GLM 4.7 Flash measured
LMArena Text: hard prompts13561475MiMo-V2.6-Flash
LMArena Text: expert13571496MiMo-V2.6-Flash
LMArena Text: hard prompts in English13691493MiMo-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 index02
Math benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-V2.6-FlashLeader
OTIS Mock AIME58.3%Not measuredOnly GLM 4.7 Flash measured
ProofBenchNot measured63.0%Only MiMo-V2.6-Flash measured
LMArena Text: math13551476MiMo-V2.6-Flash
LMArena Text: mathematical work13691478MiMo-V2.6-Flash
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-V2.6-FlashLeader
MedCode (Vals AI)Not measured41.1%Only MiMo-V2.6-Flash measured
LMArena Text: science13581462MiMo-V2.6-Flash
LMArena Text: medicine and healthcare13431439MiMo-V2.6-Flash
LMArena Text: legal and government13571441MiMo-V2.6-Flash
LMArena Text: business and finance13431454MiMo-V2.6-Flash
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-V2.6-FlashLeader
Design Arena: websites1194Not measuredOnly GLM 4.7 Flash measured
Design Arena: UI components1208Not measuredOnly GLM 4.7 Flash measured
Design Arena: game dev1135Not measuredOnly GLM 4.7 Flash measured
Design Arena: data viz1123Not measuredOnly GLM 4.7 Flash measured
Design Arena: 3D1121Not measuredOnly GLM 4.7 Flash measured
Design Arena: all code categories1178Not measuredOnly GLM 4.7 Flash measured
Design Arena: SVG1038Not measuredOnly GLM 4.7 Flash measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-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
IFBench60.8%Not measuredOnly GLM 4.7 Flash measured
Long context reasoning (AA-LCR)41.7%74.3%MiMo-V2.6-Flash
LMArena Text13511453MiMo-V2.6-Flash
LMArena Text: instruction following13271452MiMo-V2.6-Flash
LMArena Text: creative writing12961403MiMo-V2.6-Flash
LMArena VisionNot measured1256Only MiMo-V2.6-Flash measured
LMArena Text: English13731476MiMo-V2.6-Flash
LMArena Text: non-English13301431MiMo-V2.6-Flash
LMArena Text: Chinese14031509MiMo-V2.6-Flash
LMArena Text: German13361458MiMo-V2.6-Flash
LMArena Text: JapaneseNot measured1359Only MiMo-V2.6-Flash measured
LMArena Text: Korean12831425MiMo-V2.6-Flash
LMArena Text: French13321480MiMo-V2.6-Flash
LMArena Text: Spanish13501453MiMo-V2.6-Flash
LMArena Text: Russian13331409MiMo-V2.6-Flash
LMArena Text: Polish12911455MiMo-V2.6-Flash
LMArena Text: multi-turn13421447MiMo-V2.6-Flash
LMArena Text: longer queries13451459MiMo-V2.6-Flash
LMArena Text: writing and language13201424MiMo-V2.6-Flash
LMArena Text: entertainment and media13041415MiMo-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 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.7 Flash and MiMo-V2.6-Flash
BenchmarkGLM 4.7 FlashMiMo-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

GLM 4.7 Flash$0.0003Fits in one request
MiMo-V2.6-Flash$0.0003Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

GLM 4.7 Flash$0.0045Fits in one request
MiMo-V2.6-Flash$0.0078Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 4.7 Flash$0.017Exceeds the context window
MiMo-V2.6-Flash$0.031Fits in one request

GLM 4.7 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 GLM 4.7 Flash and MiMo-V2.6-Flash
SpecificationZ.ai GLM 4.7 FlashXiaomi MiMo-V2.6-Flash
MakerZ.aiXiaomi
WeightsOpen weightsOpen weights
ReleasedJanuary 19, 2026September 21, 2026
Context window200K1.05M
Input $/Mtok$0.0653$0.14
Output $/Mtok$0.40$0.28
Coding indexNot benchmarked54.7
Independent measurements behind it03
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.7 Flash better than MiMo-V2.6-Flash for coding?

Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 4.7 Flash or MiMo-V2.6-Flash?

GLM 4.7 Flash costs $0.0653 per million input tokens and $0.40 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, GLM 4.7 Flash or MiMo-V2.6-Flash?

MiMo-V2.6-Flash, with 1.05M tokens against 200K.

How many benchmarks is the GLM 4.7 Flash vs MiMo-V2.6-Flash comparison based on?

30 benchmarks have a result for both models as of October 21, 2026. GLM 4.7 Flash's coding index rests on 0 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