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GLM 4.6V vs GPT-4.1 Mini

GLM 4.6V leads GPT-4.1 Mini on the Artificial Analysis Intelligence Index, 11.2 to 10.2, and GLM 4.6V costs 1.8x less per output token ($0.90 vs $1.60 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace GLM 4.6V Replace GPT-4.1 Mini
GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
30
GPT-4.1 MiniOpenAI
Coding
No data
Overall
31.9
Output $/M
$1.60
8
vs boards won of 38 shared

GLM 4.6V or GPT-4.1 Mini: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GLM 4.6V for output tokens 1.8x cheaper ($0.90 vs $1.60 per million) and work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Model AGLM 4.6VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved task
Shared results
38
GLM 4.6V only
0
GPT-4.1 Mini only
48
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 4.6V not benchmarked, GPT-4.1 Mini not benchmarked.
Widest category
Math, 39.0 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: GLM 4.6V 85.3 against GPT-4.1 Mini 46.3, 39.0 points apart on a 0 to 100 scale.
Output price
GLM 4.6V $0.90 against GPT-4.1 Mini $1.60 per million output tokens, 1.8x apart.
Context window
GLM 4.6V takes 131K tokens, GPT-4.1 Mini 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 4.6VBarsGPT-4.1 MiniTies
Coding31
Intelligence10
Agentic work01
Reasoning61
Math20
Knowledge50
General135
All shared boards308
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
Aider polyglotNot measured32.4%Only GPT-4.1 Mini measured
SWE-bench VerifiedNot measured23.9%Only GPT-4.1 Mini measured
AA Coding IndexNot measured20.2Only GPT-4.1 Mini measured
LiveCodeBench (Vals AI)Not measured58.2%Only GPT-4.1 Mini measured
LiveCodeBench (Artificial Analysis run)41.1%48.3%GPT-4.1 Mini
Terminal-Bench Hard (Artificial Analysis run)14.4%7.6%GLM 4.6V
WeirdMLNot measured37.6%Only GPT-4.1 Mini measured
LMArena Text: coding13891367GLM 4.6V
LMArena Text: software and IT13911360GLM 4.6V
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
AA Intelligence Index11.210.2GLM 4.6V
Epoch Capabilities IndexNot measured134.9Only GPT-4.1 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
τ²-Bench Telecom31.6%52.9%GPT-4.1 Mini
Berkeley Function Calling Leaderboard (BFCL)Not measured50.4%Only GPT-4.1 Mini measured
Neither model has a result on the other 39 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index61
Reasoning benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
GPQA DiamondNot measured67.9%Only GPT-4.1 Mini measured
MMMU Pro (Vals AI)Not measured70.5%Only GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)71.9%66.4%GLM 4.6V
Humanity's Last Exam (Artificial Analysis run)9.6%5.0%GLM 4.6V
GPQA Diamond (Epoch AI run)Not measured65.8%Only GPT-4.1 Mini measured
ARC-AGINot measured3.5%Only GPT-4.1 Mini measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Mini measured
Chess puzzlesNot measured1.0%Only GPT-4.1 Mini measured
Mystery game puzzlesNot measured7.0%Only GPT-4.1 Mini measured
LMArena Text: hard prompts13671349GLM 4.6V
LMArena Text: expert13711338GLM 4.6V
LMArena Text: hard prompts in English13911362GLM 4.6V
LMArena Vision: diagrams11821182GLM 4.6V
LMArena Vision: homework11551214GPT-4.1 Mini
Kagi LLM BenchmarkNot measured48.6%Only GPT-4.1 Mini measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
AIMENot measured49.4%Only GPT-4.1 Mini measured
MATH 500 (Vals AI)Not measured88.0%Only GPT-4.1 Mini measured
MGSM (Vals AI)Not measured87.8%Only GPT-4.1 Mini measured
AA Math Index85.346.3GLM 4.6V
AIME 2025 (Artificial Analysis run)85.3%46.3%GLM 4.6V
OTIS Mock AIMENot measured44.7%Only GPT-4.1 Mini measured
FrontierMath, tiers 1 to 3Not measured6.7%Only GPT-4.1 Mini measured
MATH level 5Not measured87.3%Only GPT-4.1 Mini measured
LMArena Text: mathNot measured1343Only GPT-4.1 Mini measured
LMArena Text: mathematical workNot measured1347Only GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
Knowledge benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
MMLU ProNot measured77.2%Only GPT-4.1 Mini measured
LegalBench (Vals AI)Not measured78.0%Only GPT-4.1 Mini measured
CorpFin (Vals AI)Not measured57.9%Only GPT-4.1 Mini measured
TaxEval (Vals AI)Not measured71.9%Only GPT-4.1 Mini measured
MortgageTax (Vals AI)Not measured65.5%Only GPT-4.1 Mini measured
MedQA (Vals AI)Not measured84.6%Only GPT-4.1 Mini measured
MMLU Pro (Artificial Analysis run)79.9%78.1%GLM 4.6V
SimpleQA VerifiedNot measured12.7%Only GPT-4.1 Mini measured
LMArena Text: science13891328GLM 4.6V
LMArena Text: medicine and healthcare13891324GLM 4.6V
LMArena Text: legal and government13931343GLM 4.6V
LMArena Text: business and finance13591322GLM 4.6V
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
Design Arena: websitesNot measured997Only GPT-4.1 Mini measured
Design Arena: UI componentsNot measured958Only GPT-4.1 Mini measured
Design Arena: game devNot measured1070Only GPT-4.1 Mini measured
Design Arena: data vizNot measured1034Only GPT-4.1 Mini measured
Design Arena: 3DNot measured836Only GPT-4.1 Mini measured
Design Arena: all code categoriesNot measured993Only GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index135
General benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
IFBench30.1%38.3%GPT-4.1 Mini
Long context reasoning (AA-LCR)48.7%44.0%GLM 4.6V
DTBenchNot measured68.8%Only GPT-4.1 Mini measured
LMCANot measured21.1%Only GPT-4.1 Mini measured
Fiction.LiveBenchNot measured44.4%Only GPT-4.1 Mini measured
LMArena Text13761341GLM 4.6V
LMArena Text: instruction following13501333GLM 4.6V
LMArena Text: creative writing13471299GLM 4.6V
LMArena Vision11641181GPT-4.1 Mini
LMArena Text: English13951356GLM 4.6V
LMArena Text: non-English13581318GLM 4.6V
LMArena Text: Chinese14251329GLM 4.6V
LMArena Text: GermanNot measured1350Only GPT-4.1 Mini measured
LMArena Text: JapaneseNot measured1290Only GPT-4.1 Mini measured
LMArena Text: KoreanNot measured1298Only GPT-4.1 Mini measured
LMArena Text: FrenchNot measured1358Only GPT-4.1 Mini measured
LMArena Text: SpanishNot measured1319Only GPT-4.1 Mini measured
LMArena Text: Russian13391324GLM 4.6V
LMArena Text: PolishNot measured1326Only GPT-4.1 Mini measured
LMArena Text: multi-turn13591354GLM 4.6V
LMArena Text: longer queries13571344GLM 4.6V
LMArena Text: writing and language13471319GLM 4.6V
LMArena Text: entertainment and media13431300GLM 4.6V
LMArena Vision: English11791191GPT-4.1 Mini
LMArena Vision: Chinese12171186GLM 4.6V
LMArena Vision: reading text11711188GPT-4.1 Mini
LMArena Vision: humorNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: captioningNot measured1174Only GPT-4.1 Mini measured
LMArena Vision: recognizing thingsNot measured1187Only GPT-4.1 Mini measured
LMArena Vision: creative writing11131182GPT-4.1 Mini
Neither model has a result on the other 16 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6V and GPT-4.1 Mini
BenchmarkGLM 4.6VGPT-4.1 MiniLeader
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 4.6V$0.0008Fits in one request
GPT-4.1 Mini$0.0012Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

GLM 4.6V$0.018Fits in one request
GPT-4.1 Mini$0.025Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

GLM 4.6V$0.069Exceeds the context window
GPT-4.1 Mini$0.096Fits in one request

GLM 4.6V 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 4.6V and GPT-4.1 Mini
SpecificationZ.ai GLM 4.6VOpenAI GPT-4.1 Mini
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedDecember 8, 2025April 14, 2025
Context window131K1.05M
Input $/Mtok$0.30$0.40
Output $/Mtok$0.90$1.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.818
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6V better than GPT-4.1 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.6V for output tokens 1.8x cheaper ($0.90 vs $1.60 per million) and work measured by LiveCodeBench (Artificial Analysis run) or τ²-Bench Telecom, where it leads.

Which is cheaper, GLM 4.6V or GPT-4.1 Mini?

GLM 4.6V costs $0.30 per million input tokens and $0.90 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Cost per solved task is known for GPT-4.1 Mini only.

Which has the bigger context window, GLM 4.6V or GPT-4.1 Mini?

GPT-4.1 Mini, with 1.05M tokens against 131K.

How many benchmarks is the GLM 4.6V vs GPT-4.1 Mini comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. GLM 4.6V's coding index rests on 0 independent benchmarks and GPT-4.1 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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