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GLM 5 vs MiMo-V2.5-Pro

GLM 5 leads MiMo-V2.5-Pro on coding, 41.7 to 31.6 on the Vibe Coding Index, and MiMo-V2.5-Pro costs 3.5x less per output token ($0.9152 vs $3.20 per million). Updated October 22, 2026; 55 benchmarks have a result for both.

Replace GLM 5 Replace MiMo-V2.5-Pro
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
9
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
45
vs boards won of 55 shared, 1 tied

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

Pick GLM 5 for coding: it scores 41.7 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4.

Pick MiMo-V2.5-Pro for output tokens 3.5x cheaper ($0.9152 vs $3.20 per million) and a lower cost per solved task ($0.03 against $0.63).

Model AGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
55
GLM 5 only
21
MiMo-V2.5-Pro only
15
Like-for-like categories
8 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 5 41.7 from 3 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Math, 6.7 points apart on average over 2 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): GLM 5 23.4% against MiMo-V2.5-Pro 34.1%, 10.8 points apart on a 0 to 100 scale.
Output price
GLM 5 $3.20 against MiMo-V2.5-Pro $0.9152 per million output tokens, 3.5x apart.
Context window
GLM 5 takes 205K 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 5BarsMiMo-V2.5-ProTies
Coding181 tie
Intelligence10
Agentic work10
Reasoning15
Math02
Knowledge35
Web design08
General217
All shared boards9451 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index18
Coding benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
SWE-bench Verified72.8%Not measuredOnly GLM 5 measured
SWE-bench Multilingual69.7%Not measuredOnly GLM 5 measured
LMArena WebDev14351480MiMo-V2.5-Pro
AA Coding IndexNot measured60.2Only MiMo-V2.5-Pro measured
LiveCodeBench (Vals AI)81.9%81.3%GLM 5
SWE-bench Verified (Vals AI)71.4%74.0%MiMo-V2.5-Pro
Terminal-Bench 4 (Vals AI)Not measured0.5%Only MiMo-V2.5-Pro measured
Vibe Code Bench (Vals AI)23.4%34.1%MiMo-V2.5-Pro
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)43.2%43.2%Tie
Terminal-Bench52.4%Not measuredOnly GLM 5 measured
WeirdML48.2%Not measuredOnly GLM 5 measured
ALE-Bench765.6899.8MiMo-V2.5-Pro
LMArena Text: coding14611501MiMo-V2.5-Pro
LMArena Text: software and IT14601495MiMo-V2.5-Pro
LMArena WebDev: React14241469MiMo-V2.5-Pro
LMArena WebDev: HTML14501473MiMo-V2.5-Pro
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
AA Intelligence Index27.926.0GLM 5
Epoch Capabilities Index145.8Not measuredOnly GLM 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
AA Agentic IndexNot measured21.3Only MiMo-V2.5-Pro measured
Design Arena: agents building full-stack apps1123Not measuredOnly GLM 5 measured
Design Arena: agents building mobile apps1136Not measuredOnly GLM 5 measured
Design Arena: agents building Android apps1147Not measuredOnly GLM 5 measured
Design Arena: agents building Godot games1144Not measuredOnly GLM 5 measured
Design Arena: HTML slides1098Not measuredOnly GLM 5 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 Telecom98.2%94.2%GLM 5
Vending-Bench 2$4,432Not measuredOnly GLM 5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
Reasoning benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
GPQA Diamond83.3%82.6%GLM 5
GPQA Diamond (Artificial Analysis run)82.0%86.6%MiMo-V2.5-Pro
Humanity's Last Exam (Artificial Analysis run)29.3%35.7%MiMo-V2.5-Pro
GPQA Diamond (Epoch AI run)87.8%Not measuredOnly GLM 5 measured
ARC-AGI44.7%Not measuredOnly GLM 5 measured
ARC-AGI-24.9%Not measuredOnly GLM 5 measured
SimpleBench53.2%Not measuredOnly GLM 5 measured
LMArena Text: hard prompts14521486MiMo-V2.5-Pro
LMArena Text: expert14541501MiMo-V2.5-Pro
LMArena Text: hard prompts in English14601494MiMo-V2.5-Pro
Kagi LLM Benchmark75.0%Not measuredOnly GLM 5 measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
AIME91.7%Not measuredOnly GLM 5 measured
OTIS Mock AIME80.0%Not measuredOnly GLM 5 measured
ProofBenchNot measured22.0%Only MiMo-V2.5-Pro measured
LMArena Text: math14401481MiMo-V2.5-Pro
LMArena Text: mathematical work14511491MiMo-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 index35
Knowledge benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
MMLU Pro86.0%84.6%GLM 5
LegalBench (Vals AI)84.1%77.1%GLM 5
CaseLaw (Vals AI)52.5%Not measuredOnly GLM 5 measured
CorpFin (Vals AI)62.9%61.4%GLM 5
TaxEval (Vals AI)70.0%73.8%MiMo-V2.5-Pro
MedQA (Vals AI)94.3%Not measuredOnly GLM 5 measured
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science14601482MiMo-V2.5-Pro
LMArena Text: medicine and healthcare14551473MiMo-V2.5-Pro
LMArena Text: legal and government14531474MiMo-V2.5-Pro
LMArena Text: business and finance14301466MiMo-V2.5-Pro
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
Design Arena: websites12471266MiMo-V2.5-Pro
Design Arena: UI components12271246MiMo-V2.5-Pro
Design Arena: game dev12341261MiMo-V2.5-Pro
Design Arena: data viz12281257MiMo-V2.5-Pro
Design Arena: 3D12281243MiMo-V2.5-Pro
Design Arena: all code categories12461265MiMo-V2.5-Pro
Design Arena: SVG11681181MiMo-V2.5-Pro
Design Arena: ASCII art11471156MiMo-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 index217
General benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-V2.5-ProLeader
MedScribe (Vals AI)Not measured83.7%Only MiMo-V2.5-Pro measured
IFBench72.3%79.9%MiMo-V2.5-Pro
Long context reasoning (AA-LCR)75.7%79.7%MiMo-V2.5-Pro
DTBenchNot measured84.5%Only MiMo-V2.5-Pro measured
LMCANot measured29.5%Only MiMo-V2.5-Pro measured
CL-bench18.7%Not measuredOnly GLM 5 measured
LMArena Text14461464MiMo-V2.5-Pro
LMArena Text: instruction following14281475MiMo-V2.5-Pro
LMArena Text: creative writing14381438MiMo-V2.5-Pro
LMArena Text: English14581477MiMo-V2.5-Pro
LMArena Text: non-English14301448MiMo-V2.5-Pro
LMArena Text: Chinese15111507GLM 5
LMArena Text: German14471459MiMo-V2.5-Pro
LMArena Text: Japanese14161410GLM 5
LMArena Text: Korean14231435MiMo-V2.5-Pro
LMArena Text: French14561487MiMo-V2.5-Pro
LMArena Text: Spanish14541469MiMo-V2.5-Pro
LMArena Text: Russian14361449MiMo-V2.5-Pro
LMArena Text: Polish14341464MiMo-V2.5-Pro
LMArena Text: multi-turn14561476MiMo-V2.5-Pro
LMArena Text: longer queries14461481MiMo-V2.5-Pro
LMArena Text: writing and language14371451MiMo-V2.5-Pro
LMArena Text: entertainment and media14261438MiMo-V2.5-Pro
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5 and MiMo-V2.5-Pro
BenchmarkGLM 5MiMo-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 5$0.0026Fits 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 5$0.060Fits 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 5$0.232Exceeds 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 5 and MiMo-V2.5-Pro
SpecificationZ.ai GLM 5Xiaomi MiMo-V2.5-Pro
MakerZ.aiXiaomi
WeightsOpen weightsOpen weights
ReleasedFebruary 11, 2026April 22, 2026
Context window205K1.05M
Input $/Mtok$1.00$0.4575
Output $/Mtok$3.20$0.9152
Coding index41.731.6
Independent measurements behind it34
Cost per solved task$0.63$0.03
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GLM 5 for coding: it scores 41.7 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro, though on 3 benchmarks against 4. Pick MiMo-V2.5-Pro for output tokens 3.5x cheaper ($0.9152 vs $3.20 per million) and a lower cost per solved task ($0.03 against $0.63).

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

GLM 5 costs $1.00 per million input tokens and $3.20 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, GLM 5 costs $0.63 and MiMo-V2.5-Pro $0.03.

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

MiMo-V2.5-Pro, with 1.05M tokens against 205K.

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

55 benchmarks have a result for both models as of October 22, 2026. GLM 5's coding index rests on 3 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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