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GLM 5.3 Flash vs MiMo-V2.5-Pro

GLM 5.3 Flash leads MiMo-V2.5-Pro on coding, 57.7 to 31.6 on the Vibe Coding Index, and GLM 5.3 Flash costs 1.8x less per output token ($0.50 vs $0.9152 per million). Updated October 22, 2026; 63 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace MiMo-V2.5-Pro
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
52
MiMo-V2.5-ProXiaomi
Coding
31.6
Overall
39.3
Output $/M
$0.9152
11
vs boards won of 63 shared

GLM 5.3 Flash or MiMo-V2.5-Pro: which to pick

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro.

Pick MiMo-V2.5-Pro for a larger context window (1.05M against 1.05M tokens) and work measured by LiveCodeBench (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BMiMo-V2.5-ProXiaomi31.6/1004 independent benchmarks$0.03 per solved task
Shared results
63
GLM 5.3 Flash only
39
MiMo-V2.5-Pro only
7
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 5.3 Flash 57.7 from 6 benchmarks, MiMo-V2.5-Pro 31.6 from 4 benchmarks.
Widest category
Agentic work, 19.2 points apart on average over 5 shared benchmarks.
Widest single gap
Terminal-Bench 4 (Vals AI): GLM 5.3 Flash 37.4% against MiMo-V2.5-Pro 0.5%, 49.1 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against MiMo-V2.5-Pro $0.9152 per million output tokens, 1.8x apart.
Context window
GLM 5.3 Flash takes 1.05M 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 5.3 FlashBarsMiMo-V2.5-ProTies
Coding104
Intelligence10
Agentic work50
Reasoning51
Math21
Knowledge52
Web design80
General163
All shared boards5211
CodingLike-for-likeSix of these boards feed the Vibe Coding Index104
Coding benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071480GLM 5.3 Flash
AA Coding Index71.560.2GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%81.3%MiMo-V2.5-Pro
SWE-bench Verified (Vals AI)92.0%74.0%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)37.4%0.5%GLM 5.3 Flash
Vibe Code Bench (Vals AI)30.8%34.1%MiMo-V2.5-Pro
Code migration (Vals AI)20.5%21.6%MiMo-V2.5-Pro
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%57.3%GLM 5.3 Flash
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
SciCode51.6%50.6%GLM 5.3 Flash
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only MiMo-V2.5-Pro measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6899.8MiMo-V2.5-Pro
LMArena Text: coding15071501GLM 5.3 Flash
LMArena Text: software and IT15001495GLM 5.3 Flash
LMArena WebDev: React16241469GLM 5.3 Flash
LMArena WebDev: HTML15771473GLM 5.3 Flash
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
AA Intelligence Index41.826.0GLM 5.3 Flash
Epoch Capabilities Index153.1Not measuredOnly GLM 5.3 Flash measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
Agentic work benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
AA Agentic Index50.921.3GLM 5.3 Flash
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%41.5%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%11.5%GLM 5.3 Flash
Legal Research Bench (Vals AI)45.2%15.9%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%55.2%GLM 5.3 Flash
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured94.2%Only MiMo-V2.5-Pro measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
GPQA Diamond86.4%82.6%GLM 5.3 Flash
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%86.6%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%35.7%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901486GLM 5.3 Flash
LMArena Text: expert15111501GLM 5.3 Flash
LMArena Text: hard prompts in English14881494MiMo-V2.5-Pro
LMArena Vision: diagrams1317Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
OTIS Mock AIME93.9%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%22.0%MiMo-V2.5-Pro
LMArena Text: math15031481GLM 5.3 Flash
LMArena Text: mathematical work14971491GLM 5.3 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index52
Knowledge benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
MMLU Pro86.1%84.6%GLM 5.3 Flash
LegalBench (Vals AI)83.9%77.1%GLM 5.3 Flash
CorpFin (Vals AI)Not measured61.4%Only MiMo-V2.5-Pro measured
TaxEval (Vals AI)75.6%73.8%GLM 5.3 Flash
MedCode (Vals AI)Not measured32.5%Only MiMo-V2.5-Pro measured
LMArena Text: science14841482GLM 5.3 Flash
LMArena Text: medicine and healthcare14751473GLM 5.3 Flash
LMArena Text: legal and government14731474MiMo-V2.5-Pro
LMArena Text: business and finance14601466MiMo-V2.5-Pro
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
Design Arena: websites12721266GLM 5.3 Flash
Design Arena: UI components13161246GLM 5.3 Flash
Design Arena: game dev12781261GLM 5.3 Flash
Design Arena: data viz12621257GLM 5.3 Flash
Design Arena: 3D13161243GLM 5.3 Flash
Design Arena: all code categories12821265GLM 5.3 Flash
Design Arena: SVG12851181GLM 5.3 Flash
Design Arena: ASCII art12671156GLM 5.3 Flash
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index163
General benchmarks for GLM 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-V2.5-ProLeader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
MedScribe (Vals AI)88.9%83.7%GLM 5.3 Flash
IFBenchNot measured79.9%Only MiMo-V2.5-Pro measured
Long context reasoning (AA-LCR)80.0%79.7%GLM 5.3 Flash
DTBenchNot measured84.5%Only MiMo-V2.5-Pro measured
LMCANot measured29.5%Only MiMo-V2.5-Pro measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711464GLM 5.3 Flash
LMArena Text: instruction following14781475GLM 5.3 Flash
LMArena Text: creative writing14411438GLM 5.3 Flash
LMArena Vision1294Not measuredOnly GLM 5.3 Flash measured
LMArena Text: English14741477MiMo-V2.5-Pro
LMArena Text: non-English14621448GLM 5.3 Flash
LMArena Text: Chinese15311507GLM 5.3 Flash
LMArena Text: German14621459GLM 5.3 Flash
LMArena Text: Japanese14441410GLM 5.3 Flash
LMArena Text: Korean14361435GLM 5.3 Flash
LMArena Text: French14911487GLM 5.3 Flash
LMArena Text: Spanish14751469GLM 5.3 Flash
LMArena Text: Russian14651449GLM 5.3 Flash
LMArena Text: Polish14501464MiMo-V2.5-Pro
LMArena Text: multi-turn14691476MiMo-V2.5-Pro
LMArena Text: longer queries14811481GLM 5.3 Flash
LMArena Text: writing and language14551451GLM 5.3 Flash
LMArena Text: entertainment and media14401438GLM 5.3 Flash
LMArena Vision: English1295Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text1299Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing1270Not measuredOnly GLM 5.3 Flash 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 5.3 Flash and MiMo-V2.5-Pro
BenchmarkGLM 5.3 FlashMiMo-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 5.3 Flash$0.0004Fits in one request
MiMo-V2.5-Pro$0.0009Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
MiMo-V2.5-Pro$0.026Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
MiMo-V2.5-Pro$0.101Fits in one request

GLM 5.3 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 5.3 Flash and MiMo-V2.5-Pro
SpecificationZ.ai GLM 5.3 FlashXiaomi MiMo-V2.5-Pro
MakerZ.aiXiaomi
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026April 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.15$0.4575
Output $/Mtok$0.50$0.9152
Coding index57.731.6
Independent measurements behind it64
Cost per solved task$0.02$0.03
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than MiMo-V2.5-Pro for coding?

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 31.6 for MiMo-V2.5-Pro. Pick MiMo-V2.5-Pro for a larger context window (1.05M against 1.05M tokens) and work measured by LiveCodeBench (Vals AI) or Vibe Code Bench (Vals AI), where it leads.

Which is cheaper, GLM 5.3 Flash or MiMo-V2.5-Pro?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; MiMo-V2.5-Pro costs $0.4575 and $0.9152. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and MiMo-V2.5-Pro $0.03.

Which has the bigger context window, GLM 5.3 Flash or MiMo-V2.5-Pro?

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

How many benchmarks is the GLM 5.3 Flash vs MiMo-V2.5-Pro comparison based on?

63 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash's coding index rests on 6 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-3-flash-vs-xiaomi-mimo-v2-5-pro">LLMBenchmark.ai, GLM 5.3 Flash vs MiMo-V2.5-Pro</a></p>