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GLM 4.5V vs MiMo-V2.5-Pro

MiMo-V2.5-Pro leads GLM 4.5V on the Artificial Analysis Intelligence Index, 26.0 to 7.6, and MiMo-V2.5-Pro costs 2.0x less per output token ($0.9152 vs $1.80 per million). Updated October 21, 2026; 31 benchmarks have a result for both.

Replace GLM 4.5V Replace MiMo-V2.5-Pro
GLM 4.5VZ.ai
Coding
No data
Overall
No data
Output $/M
$1.80
0
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
31
vs boards won of 31 shared

GLM 4.5V or MiMo-V2.5-Pro: which to pick

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; GLM 4.5V has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGLM 4.5VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
31
GLM 4.5V only
10
MiMo-V2.5-Pro only
39
Like-for-like categories
7 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 4.5V not benchmarked, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Agentic work, 71.6 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): GLM 4.5V 0.0% against MiMo-V2.5-Pro 79.7%, 79.7 points apart on a 0 to 100 scale.
Output price
GLM 4.5V $1.80 against MiMo-V2.5-Pro $0.9152 per million output tokens, 2.0x apart.
Context window
GLM 4.5V takes 66K 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 4.5VBarsMiMo-V2.5-ProTies
Coding03
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General015
All shared boards031
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GLM 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-V2.5-ProLeader
LMArena WebDevNot measured1480Only MiMo-V2.5-Pro measured
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
LiveCodeBench (Artificial Analysis run)60.4%Not measuredOnly GLM 4.5V measured
SciCodeNot measured50.6%Only MiMo-V2.5-Pro measured
Terminal-Bench Hard (Artificial Analysis run)6.8%43.2%MiMo-V2.5-Pro
ALE-BenchNot measured899.8Only MiMo-V2.5-Pro measured
LMArena Text: coding13471501MiMo-V2.5-Pro
LMArena Text: software and IT13531495MiMo-V2.5-Pro
LMArena WebDev: ReactNot measured1469Only MiMo-V2.5-Pro measured
LMArena WebDev: HTMLNot measured1473Only MiMo-V2.5-Pro 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 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-V2.5-ProLeader
AA Intelligence Index7.626.0MiMo-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 index01
Agentic work benchmarks for GLM 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro 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 Telecom22.5%94.2%MiMo-V2.5-Pro
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for GLM 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-V2.5-ProLeader
GPQA DiamondNot measured82.6%Only MiMo-V2.5-Pro measured
GPQA Diamond (Artificial Analysis run)68.4%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)6.3%35.7%MiMo-V2.5-Pro
LMArena Text: hard prompts13351486MiMo-V2.5-Pro
LMArena Text: expert13531501MiMo-V2.5-Pro
LMArena Text: hard prompts in English13571494MiMo-V2.5-Pro
LMArena Vision: diagrams1151Not measuredOnly GLM 4.5V measured
LMArena Vision: homework1163Not measuredOnly GLM 4.5V measured
Kagi LLM Benchmark59.8%Not measuredOnly GLM 4.5V 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 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-V2.5-ProLeader
AA Math Index73.0Not measuredOnly GLM 4.5V measured
AIME 2025 (Artificial Analysis run)73.0%Not measuredOnly GLM 4.5V measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math13541481MiMo-V2.5-Pro
LMArena Text: mathematical work13361491MiMo-V2.5-Pro
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GLM 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-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
MMLU Pro (Artificial Analysis run)78.8%Not measuredOnly GLM 4.5V measured
LMArena Text: science13301482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare13491473MiMo-V2.5-Pro
LMArena Text: legal and government13381474MiMo-V2.5-Pro
LMArena Text: business and finance13091466MiMo-V2.5-Pro
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for GLM 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-V2.5-ProLeader
Design Arena: websitesNot measured1267Only MiMo-V2.5-Pro measured
Design Arena: UI componentsNot measured1249Only MiMo-V2.5-Pro measured
Design Arena: game devNot measured1262Only MiMo-V2.5-Pro measured
Design Arena: data vizNot measured1257Only MiMo-V2.5-Pro measured
Design Arena: 3DNot measured1244Only MiMo-V2.5-Pro measured
Design Arena: all code categoriesNot measured1266Only MiMo-V2.5-Pro measured
Design Arena: SVGNot measured1181Only MiMo-V2.5-Pro measured
Design Arena: ASCII artNot measured1156Only MiMo-V2.5-Pro measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
General benchmarks for GLM 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench34.2%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)0.0%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 Text13331464MiMo-V2.5-Pro
LMArena Text: instruction following13111475MiMo-V2.5-Pro
LMArena Text: creative writing12941438MiMo-V2.5-Pro
LMArena Vision1154Not measuredOnly GLM 4.5V measured
LMArena Text: English13621477MiMo-V2.5-Pro
LMArena Text: non-English13031448MiMo-V2.5-Pro
LMArena Text: Chinese13371507MiMo-V2.5-Pro
LMArena Text: GermanNot measured1459Only MiMo-V2.5-Pro measured
LMArena Text: JapaneseNot measured1410Only MiMo-V2.5-Pro measured
LMArena Text: KoreanNot measured1435Only MiMo-V2.5-Pro measured
LMArena Text: FrenchNot measured1487Only MiMo-V2.5-Pro measured
LMArena Text: Spanish13361469MiMo-V2.5-Pro
LMArena Text: Russian12981449MiMo-V2.5-Pro
LMArena Text: Polish13021464MiMo-V2.5-Pro
LMArena Text: multi-turn13331476MiMo-V2.5-Pro
LMArena Text: longer queries13051481MiMo-V2.5-Pro
LMArena Text: writing and language13021451MiMo-V2.5-Pro
LMArena Text: entertainment and media13031438MiMo-V2.5-Pro
LMArena Vision: English1183Not measuredOnly GLM 4.5V measured
LMArena Vision: reading text1151Not measuredOnly GLM 4.5V measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.5V and MiMo-V2.5-Pro
BenchmarkGLM 4.5VMiMo-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 4.5V$0.0015Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

MiMo-V2.5-Pro costs less

Repository review

50K input + 3K output tokens

GLM 4.5V$0.035Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

MiMo-V2.5-Pro costs less

Agent loop

200K input + 10K output tokens

GLM 4.5V$0.138Exceeds the context window
MiMo-V2.5-Pro$0.101Fits 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 4.5V and MiMo-V2.5-Pro
SpecificationZ.ai GLM 4.5VXiaomi MiMo-V2.5-Pro
MakerZ.aiXiaomi
WeightsOpen weightsOpen weights
ReleasedAugust 11, 2025April 22, 2026
Context window66K1.05M
Input $/Mtok$0.60$0.4575
Output $/Mtok$1.80$0.9152
Coding indexNot benchmarked31.6
Independent measurements behind it04
Cost per solved taskNot computable$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.5V better than MiMo-V2.5-Pro for coding?

Only MiMo-V2.5-Pro has a coding score, 31.6 on the Vibe Coding Index; GLM 4.5V has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 4.5V or MiMo-V2.5-Pro?

GLM 4.5V costs $0.60 per million input tokens and $1.80 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Cost per solved task is known for MiMo-V2.5-Pro only.

Which has the bigger context window, GLM 4.5V or MiMo-V2.5-Pro?

MiMo-V2.5-Pro, with 1.05M tokens against 66K.

How many benchmarks is the GLM 4.5V vs MiMo-V2.5-Pro comparison based on?

31 benchmarks have a result for both models as of October 21, 2026. GLM 4.5V's coding index rests on 0 independent benchmarks and MiMo-V2.5-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.

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