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GLM 5V Turbo vs MiMo-V2.5-Pro

Updated October 21, 2026. 45 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GLM 5V Turbo Replace MiMo-V2.5-Pro
GLM 5V TurboZ.ai
Coding
28.8
Overall
23.5
Output $/M
$4.00
1
MiMo-V2.5-ProXiaomi
Coding
40.0
Overall
26.0
Output $/M
$0.609
44
vs boards won of 45 shared

Decision reading

Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 28.8 for GLM 5V Turbo.

Pick GLM 5V Turbo when the benchmark that matters is τ²-Bench Telecom, where it leads.

Model AGLM 5V TurboZ.ai28.8/1001 independent benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi40.0/1001 independent benchmark$0.03 per solved task
Shared results
45
GLM 5V Turbo only
20
MiMo-V2.5-Pro only
25
Like-for-like categories
8 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
GLM 5V Turbo 28.8 from 1 benchmark, MiMo-V2.5-Pro 40.0 from 1 benchmark.
Widest category
Coding, 11.1 points apart on average over 6 shared benchmarks.
Widest single gap
LMArena WebDev: HTML: GLM 5V Turbo 1356 against MiMo-V2.5-Pro 1473, 19.4 points apart on a 0 to 100 scale.
Output price
GLM 5V Turbo $4.00 against MiMo-V2.5-Pro $0.609 per million output tokens, 6.6x apart.
Context window
GLM 5V Turbo takes 203K tokens, MiMo-V2.5-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
CategoryGLM 5V TurboBarsMiMo-V2.5-ProTies
Coding06
Intelligence01
Agentic work10
Reasoning05
Math02
Knowledge04
Web design08
General018
All shared boards144
CodingLike-for-likeFour of these boards feed the Vibe Coding Index06
Coding benchmarks for GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
LMArena WebDev14021480MiMo-V2.5-Pro
AA Coding IndexNot measured60.2Only MiMo-V2.5-Pro measured
LiveCodeBench (Vals AI)Not measured81.3%Only MiMo-V2.5-Pro measured
SWE-bench Verified (Vals AI)Not measured74.0%Only MiMo-V2.5-Pro measured
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)Not measured34.1%Only MiMo-V2.5-Pro measured
Code migration (Vals AI)Not measured21.6%Only MiMo-V2.5-Pro measured
Terminal-Bench 2.1 (Vals AI)Not measured57.3%Only MiMo-V2.5-Pro measured
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)32.6%43.2%MiMo-V2.5-Pro
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding14661501MiMo-V2.5-Pro
LMArena Text: software and IT14601495MiMo-V2.5-Pro
LMArena WebDev: React13861469MiMo-V2.5-Pro
LMArena WebDev: HTML13561473MiMo-V2.5-Pro
LMArena WebDev: from an image1425Not measuredOnly GLM 5V Turbo measured
Neither model has a result on the other 22 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
AA Intelligence Index23.526.0MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
Design Arena: agents building web apps1124Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building full-stack apps1149Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building mobile apps1134Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Android apps1267Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building Godot games957Not measuredOnly GLM 5V Turbo measured
Design Arena: agents building games1102Not measuredOnly GLM 5V Turbo measured
Design Arena: HTML slides1120Not measuredOnly GLM 5V Turbo measured
Design Arena: PowerPoint slides1152Not measuredOnly GLM 5V Turbo measured
Finance Agent (Vals AI)Not measured41.5%Only MiMo-V2.5-Pro measured
Tax Agent Bench (Vals AI)Not measured11.5%Only MiMo-V2.5-Pro measured
Legal Research Bench (Vals AI)Not measured15.9%Only MiMo-V2.5-Pro measured
Excel Modeling Benchmark (Vals AI)Not measured55.2%Only MiMo-V2.5-Pro measured
τ²-Bench Telecom98.5%94.2%GLM 5V Turbo
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)80.9%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)17.1%35.7%MiMo-V2.5-Pro
LMArena Text: hard prompts14431486MiMo-V2.5-Pro
LMArena Text: expert14531501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14561494MiMo-V2.5-Pro
LMArena Vision: diagrams1286Not measuredOnly GLM 5V Turbo measured
LMArena Vision: homework1273Not measuredOnly GLM 5V Turbo 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 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math14421481MiMo-V2.5-Pro
LMArena Text: mathematical work14471491MiMo-V2.5-Pro
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
MMLU ProNot measured84.6%Only MiMo-V2.5-Pro measured
LegalBench (Vals AI)Not measured77.1%Only MiMo-V2.5-Pro measured
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)Not measured73.8%Only MiMo-V2.5-Pro measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science14481482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14331473MiMo-V2.5-Pro
LMArena Text: legal and government14361474MiMo-V2.5-Pro
LMArena Text: business and finance14351466MiMo-V2.5-Pro
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
Design Arena: websites12301267MiMo-V2.5-Pro
Design Arena: UI components12131248MiMo-V2.5-Pro
Design Arena: game dev12191261MiMo-V2.5-Pro
Design Arena: data viz12021257MiMo-V2.5-Pro
Design Arena: 3D12091244MiMo-V2.5-Pro
Design Arena: all code categories12281266MiMo-V2.5-Pro
Design Arena: SVG11511181MiMo-V2.5-Pro
Design Arena: ASCII art11181157MiMo-V2.5-Pro
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench61.1%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)70.3%79.7%MiMo-V2.5-Pro
DTBenchNot measured84.5%Only MiMo-V2.5-Pro measured
LMCANot measured29.5%Only MiMo-V2.5-Pro measured
LMArena Text14371464MiMo-V2.5-Pro
LMArena Text: instruction following14231475MiMo-V2.5-Pro
LMArena Text: creative writing14171438MiMo-V2.5-Pro
LMArena Vision1264Not measuredOnly GLM 5V Turbo measured
LMArena Text: English14541477MiMo-V2.5-Pro
LMArena Text: non-English14201448MiMo-V2.5-Pro
LMArena Text: Chinese14911507MiMo-V2.5-Pro
LMArena Text: German14221459MiMo-V2.5-Pro
LMArena Text: JapaneseNot measured1410Only MiMo-V2.5-Pro measured
LMArena Text: Korean13971435MiMo-V2.5-Pro
LMArena Text: French14431487MiMo-V2.5-Pro
LMArena Text: Spanish14521469MiMo-V2.5-Pro
LMArena Text: Russian14321449MiMo-V2.5-Pro
LMArena Text: Polish14321464MiMo-V2.5-Pro
LMArena Text: multi-turn14311476MiMo-V2.5-Pro
LMArena Text: longer queries14381481MiMo-V2.5-Pro
LMArena Text: writing and language14201451MiMo-V2.5-Pro
LMArena Text: entertainment and media14071438MiMo-V2.5-Pro
LMArena Vision: English1274Not measuredOnly GLM 5V Turbo measured
LMArena Vision: Chinese1329Not measuredOnly GLM 5V Turbo measured
LMArena Vision: reading text1270Not measuredOnly GLM 5V Turbo measured
LMArena Vision: humor1268Not measuredOnly GLM 5V Turbo measured
LMArena Vision: captioning1264Not measuredOnly GLM 5V Turbo measured
LMArena Vision: recognizing things1241Not measuredOnly GLM 5V Turbo measured
LMArena Vision: creative writing1252Not measuredOnly GLM 5V Turbo measured
LMArena Document1416Not measuredOnly GLM 5V Turbo measured
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 GLM 5V Turbo and MiMo-V2.5-Pro
BenchmarkGLM 5V TurboMiMo-V2.5-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

GLM 5V Turbo$0.0032Fits in one request
MiMo-V2.5-Pro$0.0006Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

GLM 5V Turbo$0.072Fits in one request
MiMo-V2.5-Pro$0.017Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

GLM 5V Turbo$0.280Exceeds the context window
MiMo-V2.5-Pro$0.067Fits in one request

MiMo-V2.5-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 GLM 5V Turbo and MiMo-V2.5-Pro
SpecificationZ.ai GLM 5V TurboXiaomi MiMo-V2.5-Pro
MakerZ.aiXiaomi
WeightsNo public weights listedOpen weights
ReleasedApril 1, 2026April 22, 2026
Context window203K1.05M
Input $/Mtok$1.20$0.3045
Output $/Mtok$4.00$0.609
Coding index28.840.0
Independent measurements behind it11
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5V Turbo better than MiMo-V2.5-Pro for coding?

Pick MiMo-V2.5-Pro for coding: it scores 40.0 on the Vibe Coding Index against 28.8 for GLM 5V Turbo. Pick GLM 5V Turbo when the benchmark that matters is τ²-Bench Telecom, where it leads.

Which is cheaper, GLM 5V Turbo or MiMo-V2.5-Pro?

GLM 5V Turbo costs $1.20 per million input tokens and $4.00 per million output tokens; MiMo-V2.5-Pro costs $0.3045 and $0.609. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, GLM 5V Turbo or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 203K.

How many benchmarks is the GLM 5V Turbo vs MiMo-V2.5-Pro comparison based on?

45 benchmarks have a result for both models as of October 21, 2026. GLM 5V Turbo's coding index rests on 1 independent benchmark and MiMo-V2.5-Pro's on 1. Where only one model has a result, the page says so instead of naming a winner.

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