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GLM 5.3 Flash vs MiniMax M2.5

Updated October 21, 2026. 54 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
53
MiniMax M2.5MiniMax
Coding
59.4
Overall
22.8
Output $/M
$0.95
1
vs boards won of 54 shared

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 59.4 for MiniMax M2.5.

Pick MiniMax M2.5 when the benchmark that matters is ALE-Bench, where it leads.

Shared results
54
GLM 5.3 Flash only
48
MiniMax M2.5 only
13
Like-for-like categories
7 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 5.3 Flash 71.0 from 2 benchmarks, MiniMax M2.5 59.4 from 2 benchmarks.
Widest category
Reasoning, 22.2 points apart on average over 8 shared benchmarks.
Widest single gap
ARC-AGI-2: GLM 5.3 Flash 65.8% against MiniMax M2.5 4.9%, 61.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against MiniMax M2.5 $0.95 per million output tokens, 1.9x apart.
Context window
GLM 5.3 Flash takes 1.05M tokens, MiniMax M2.5 205K.

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 FlashBarsMiniMax M2.5Ties
Coding81
Intelligence20
Reasoning80
Math30
Knowledge70
Web design70
General180
All shared boards531
CodingLike-for-likeFour of these boards feed the Vibe Coding Index81
Coding benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
SWE-bench VerifiedNot measured75.8%Only MiniMax M2.5 measured
SWE-bench MultilingualNot measured68.3%Only MiniMax M2.5 measured
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071386GLM 5.3 Flash
AA Coding Index71.5Not measuredOnly GLM 5.3 Flash measured
LiveCodeBench (Vals AI)80.5%79.2%GLM 5.3 Flash
SWE-bench Verified (Vals AI)92.0%74.2%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%14.8%GLM 5.3 Flash
Code migration (Vals AI)20.5%Not measuredOnly GLM 5.3 Flash measured
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%Not measuredOnly GLM 5.3 Flash measured
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%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured34.8%Only MiniMax M2.5 measured
Terminal-BenchNot measured42.7%Only MiniMax M2.5 measured
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6618.2MiniMax M2.5
LMArena Text: coding15071380GLM 5.3 Flash
LMArena Text: software and IT15001383GLM 5.3 Flash
LMArena WebDev: React16241374GLM 5.3 Flash
LMArena WebDev: HTML15771414GLM 5.3 Flash
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
AA Intelligence Index41.822.8GLM 5.3 Flash
Epoch Capabilities Index153.1146.6GLM 5.3 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Agentic work benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
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%Not measuredOnly GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
τ²-Bench TelecomNot measured95.3%Only MiniMax M2.5 measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Vending-Bench 2Not measured-$23Only MiniMax M2.5 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
GPQA Diamond86.4%82.1%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%84.8%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%20.5%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI91.0%63.7%GLM 5.3 Flash
ARC-AGI-265.8%4.9%GLM 5.3 Flash
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901372GLM 5.3 Flash
LMArena Text: expert15111378GLM 5.3 Flash
LMArena Text: hard prompts in English14881384GLM 5.3 Flash
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 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
AIMENot measured88.8%Only MiniMax M2.5 measured
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%4.0%GLM 5.3 Flash
LMArena Text: math15031378GLM 5.3 Flash
LMArena Text: mathematical work14971378GLM 5.3 Flash
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70
Knowledge benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
MMLU Pro86.1%80.1%GLM 5.3 Flash
LegalBench (Vals AI)83.9%80.0%GLM 5.3 Flash
CaseLaw (Vals AI)Not measured53.5%Only MiniMax M2.5 measured
CorpFin (Vals AI)Not measured59.6%Only MiniMax M2.5 measured
TaxEval (Vals AI)75.6%68.2%GLM 5.3 Flash
MedQA (Vals AI)Not measured92.5%Only MiniMax M2.5 measured
LMArena Text: science14841369GLM 5.3 Flash
LMArena Text: medicine and healthcare14751357GLM 5.3 Flash
LMArena Text: legal and government14731366GLM 5.3 Flash
LMArena Text: business and finance14601356GLM 5.3 Flash
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
Design Arena: websites12721222GLM 5.3 Flash
Design Arena: UI components13161172GLM 5.3 Flash
Design Arena: game dev12791176GLM 5.3 Flash
Design Arena: data viz12621171GLM 5.3 Flash
Design Arena: 3D13161170GLM 5.3 Flash
Design Arena: all code categories12821207GLM 5.3 Flash
Design Arena: SVG12841147GLM 5.3 Flash
Design Arena: ASCII art1269Not measuredOnly GLM 5.3 Flash measured
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 5.3 Flash and MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
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%Not measuredOnly GLM 5.3 Flash measured
IFBenchNot measured71.6%Only MiniMax M2.5 measured
Long context reasoning (AA-LCR)80.0%73.3%GLM 5.3 Flash
CL-benchNot measured11.4%Only MiniMax M2.5 measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
CL-bench LifeNot measured6.3%Only MiniMax M2.5 measured
LMArena Text14711359GLM 5.3 Flash
LMArena Text: instruction following14781353GLM 5.3 Flash
LMArena Text: creative writing14411331GLM 5.3 Flash
LMArena Vision1294Not measuredOnly GLM 5.3 Flash measured
LMArena Text: English14741380GLM 5.3 Flash
LMArena Text: non-English14621338GLM 5.3 Flash
LMArena Text: Chinese15311393GLM 5.3 Flash
LMArena Text: German14621361GLM 5.3 Flash
LMArena Text: Japanese14441171GLM 5.3 Flash
LMArena Text: Korean14361233GLM 5.3 Flash
LMArena Text: French14911363GLM 5.3 Flash
LMArena Text: Spanish14751353GLM 5.3 Flash
LMArena Text: Russian14651359GLM 5.3 Flash
LMArena Text: Polish14501334GLM 5.3 Flash
LMArena Text: multi-turn14691364GLM 5.3 Flash
LMArena Text: longer queries14811366GLM 5.3 Flash
LMArena Text: writing and language14551345GLM 5.3 Flash
LMArena Text: entertainment and media14401329GLM 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 MiniMax M2.5
BenchmarkGLM 5.3 FlashMiniMax M2.5Leader
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
MiniMax M2.5$0.0007Fits 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
MiniMax M2.5$0.016Fits 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
MiniMax M2.5$0.064Exceeds the context window

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 MiniMax M2.5
SpecificationZ.ai GLM 5.3 FlashMiniMax M2.5
MakerZ.aiMiniMax
WeightsOpen weightsOpen weights
ReleasedAugust 26, 2026February 12, 2026
Context window1.05M205K
Input $/Mtok$0.15$0.27
Output $/Mtok$0.50$0.95
Coding index71.059.4
Independent measurements behind it22
Cost per solved task$0.02$0.62
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than MiniMax M2.5 for coding?

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 59.4 for MiniMax M2.5. Pick MiniMax M2.5 when the benchmark that matters is ALE-Bench, where it leads.

Which is cheaper, GLM 5.3 Flash or MiniMax M2.5?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; MiniMax M2.5 costs $0.27 and $0.95. Per solved SWE-bench Verified task, GLM 5.3 Flash costs $0.02 and MiniMax M2.5 $0.62.

Which has the bigger context window, GLM 5.3 Flash or MiniMax M2.5?

GLM 5.3 Flash, with 1.05M tokens against 205K.

How many benchmarks is the GLM 5.3 Flash vs MiniMax M2.5 comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. GLM 5.3 Flash's coding index rests on 2 independent benchmarks and MiniMax M2.5's on 2. 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-minimax-minimax-m2-5">LLMBenchmark.ai, GLM 5.3 Flash vs MiniMax M2.5</a></p>