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GLM 4.6V vs Llama 4 Maverick

GLM 4.6V leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 11.2 to 9.3, at about the same output price ($0.90 vs $1.00 per million). Updated October 21, 2026; 38 benchmarks have a result for both.

Replace GLM 4.6V Replace Llama 4 Maverick
GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
34
Llama 4 MaverickMeta Llama
Coding
No data
Overall
21.8
Output $/M
$1.00
4
vs boards won of 38 shared

GLM 4.6V or Llama 4 Maverick: 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 1.1x cheaper ($0.90 vs $1.00 per million) and work measured by LMArena Vision: homework or MMLU Pro (Artificial Analysis run), where it leads.

Model AGLM 4.6VZ.aiNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 4 MaverickMeta LlamaNot benchmarkedNo coding benchmark$1.491 per solved task
Shared results
38
GLM 4.6V only
0
Llama 4 Maverick only
47
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, Llama 4 Maverick not benchmarked.
Widest category
Math, 66.0 points apart on average over 2 shared benchmarks.
Widest single gap
AA Math Index: GLM 4.6V 85.3 against Llama 4 Maverick 19.3, 66.0 points apart on a 0 to 100 scale.
Output price
GLM 4.6V $0.90 against Llama 4 Maverick $1.00 per million output tokens, 1.1x apart.
Context window
GLM 4.6V takes 131K tokens, Llama 4 Maverick 524K.

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 4.6VBarsLlama 4 MaverickTies
Coding40
Intelligence10
Agentic work10
Reasoning61
Math20
Knowledge41
General162
All shared boards344
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for GLM 4.6V and Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
Aider polyglotNot measured15.6%Only Llama 4 Maverick measured
SWE-bench VerifiedNot measured21.0%Only Llama 4 Maverick measured
AA Coding IndexNot measured16.3Only Llama 4 Maverick measured
LiveCodeBench (Vals AI)Not measured47.3%Only Llama 4 Maverick measured
LiveCodeBench (Artificial Analysis run)41.1%39.7%GLM 4.6V
SciCodeNot measured31.7%Only Llama 4 Maverick measured
Terminal-Bench Hard (Artificial Analysis run)14.4%6.8%GLM 4.6V
WeirdMLNot measured24.5%Only Llama 4 Maverick measured
ALE-BenchNot measured173.0Only Llama 4 Maverick measured
LMArena Text: coding13891301GLM 4.6V
LMArena Text: software and IT13911299GLM 4.6V
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.6V and Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
AA Intelligence Index11.29.3GLM 4.6V
Epoch Capabilities IndexNot measured132.2Only Llama 4 Maverick measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for GLM 4.6V and Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
AA Agentic IndexNot measured0.6Only Llama 4 Maverick measured
τ²-Bench Telecom31.6%17.8%GLM 4.6V
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 Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
GPQA DiamondNot measured69.4%Only Llama 4 Maverick measured
MMMU Pro (Vals AI)Not measured71.7%Only Llama 4 Maverick measured
GPQA Diamond (Artificial Analysis run)71.9%67.1%GLM 4.6V
Humanity's Last Exam (Artificial Analysis run)9.6%4.9%GLM 4.6V
ARC-AGINot measured4.4%Only Llama 4 Maverick measured
ARC-AGI-2Not measured0.0%Only Llama 4 Maverick measured
SimpleBenchNot measured27.7%Only Llama 4 Maverick measured
LMArena Text: hard prompts13671281GLM 4.6V
LMArena Text: expert13711259GLM 4.6V
LMArena Text: hard prompts in English13911295GLM 4.6V
LMArena Vision: diagrams11821134GLM 4.6V
LMArena Vision: homework11551164Llama 4 Maverick
Kagi LLM BenchmarkNot measured55.9%Only Llama 4 Maverick measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6V and Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
AIMENot measured25.2%Only Llama 4 Maverick measured
MATH 500 (Vals AI)Not measured85.2%Only Llama 4 Maverick measured
MGSM (Vals AI)Not measured92.4%Only Llama 4 Maverick measured
AA Math Index85.319.3GLM 4.6V
AIME 2025 (Artificial Analysis run)85.3%19.3%GLM 4.6V
LMArena Text: mathNot measured1299Only Llama 4 Maverick measured
LMArena Text: mathematical workNot measured1295Only Llama 4 Maverick measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for GLM 4.6V and Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
MMLU ProNot measured79.4%Only Llama 4 Maverick measured
LegalBench (Vals AI)Not measured77.8%Only Llama 4 Maverick measured
CorpFin (Vals AI)Not measured49.7%Only Llama 4 Maverick measured
TaxEval (Vals AI)Not measured66.6%Only Llama 4 Maverick measured
MortgageTax (Vals AI)Not measured58.5%Only Llama 4 Maverick measured
MedQA (Vals AI)Not measured43.3%Only Llama 4 Maverick measured
MedCode (Vals AI)Not measured36.5%Only Llama 4 Maverick measured
MMLU Pro (Artificial Analysis run)79.9%80.9%Llama 4 Maverick
GeoBenchNot measured52.0%Only Llama 4 Maverick measured
LMArena Text: science13891288GLM 4.6V
LMArena Text: medicine and healthcare13891275GLM 4.6V
LMArena Text: legal and government13931286GLM 4.6V
LMArena Text: business and finance13591260GLM 4.6V
Neither model has a result on the other 5 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 Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
Design Arena: websitesNot measured871Only Llama 4 Maverick measured
Design Arena: UI componentsNot measured899Only Llama 4 Maverick measured
Design Arena: game devNot measured838Only Llama 4 Maverick measured
Design Arena: data vizNot measured882Only Llama 4 Maverick measured
Design Arena: 3DNot measured901Only Llama 4 Maverick measured
Design Arena: all code categoriesNot measured880Only Llama 4 Maverick measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index162
General benchmarks for GLM 4.6V and Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
SAGE (Vals AI)Not measured35.7%Only Llama 4 Maverick measured
MedScribe (Vals AI)Not measured54.2%Only Llama 4 Maverick measured
IFBench30.1%43.0%Llama 4 Maverick
Long context reasoning (AA-LCR)48.7%50.0%Llama 4 Maverick
DTBenchNot measured61.9%Only Llama 4 Maverick measured
LMCANot measured15.9%Only Llama 4 Maverick measured
Fiction.LiveBenchNot measured46.2%Only Llama 4 Maverick measured
Creative writing (Lech Mazur)Not measured62.0%Only Llama 4 Maverick measured
LMArena Text13761287GLM 4.6V
LMArena Text: instruction following13501267GLM 4.6V
LMArena Text: creative writing13471266GLM 4.6V
LMArena Vision11641142GLM 4.6V
LMArena Text: English13951303GLM 4.6V
LMArena Text: non-English13581269GLM 4.6V
LMArena Text: Chinese14251277GLM 4.6V
LMArena Text: GermanNot measured1291Only Llama 4 Maverick measured
LMArena Text: JapaneseNot measured1206Only Llama 4 Maverick measured
LMArena Text: KoreanNot measured1203Only Llama 4 Maverick measured
LMArena Text: FrenchNot measured1259Only Llama 4 Maverick measured
LMArena Text: SpanishNot measured1293Only Llama 4 Maverick measured
LMArena Text: Russian13391286GLM 4.6V
LMArena Text: PolishNot measured1275Only Llama 4 Maverick measured
LMArena Text: multi-turn13591289GLM 4.6V
LMArena Text: longer queries13571280GLM 4.6V
LMArena Text: writing and language13471277GLM 4.6V
LMArena Text: entertainment and media13431250GLM 4.6V
LMArena Vision: English11791150GLM 4.6V
LMArena Vision: Chinese12171141GLM 4.6V
LMArena Vision: reading text11711143GLM 4.6V
LMArena Vision: humorNot measured1100Only Llama 4 Maverick measured
LMArena Vision: creative writing11131099GLM 4.6V
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 4.6V and Llama 4 Maverick
BenchmarkGLM 4.6VLlama 4 MaverickLeader
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
Llama 4 Maverick$0.0008Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

GLM 4.6V$0.018Fits in one request
Llama 4 Maverick$0.021Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

GLM 4.6V$0.069Exceeds the context window
Llama 4 Maverick$0.080Fits 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 Llama 4 Maverick
SpecificationZ.ai GLM 4.6VMeta Llama 4 Maverick
MakerZ.aiMeta Llama
WeightsOpen weightsOpen weights
ReleasedDecember 8, 2025April 5, 2025
Context window131K524K
Input $/Mtok$0.30$0.35
Output $/Mtok$0.90$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.491
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6V better than Llama 4 Maverick for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GLM 4.6V for output tokens 1.1x cheaper ($0.90 vs $1.00 per million) and work measured by LMArena Vision: homework or MMLU Pro (Artificial Analysis run), where it leads.

Which is cheaper, GLM 4.6V or Llama 4 Maverick?

GLM 4.6V costs $0.30 per million input tokens and $0.90 per million output tokens; Llama 4 Maverick costs $0.35 and $1.00. Cost per solved task is known for Llama 4 Maverick only.

Which has the bigger context window, GLM 4.6V or Llama 4 Maverick?

Llama 4 Maverick, with 524K tokens against 131K.

How many benchmarks is the GLM 4.6V vs Llama 4 Maverick comparison based on?

38 benchmarks have a result for both models as of October 21, 2026. GLM 4.6V's coding index rests on 0 independent benchmarks and Llama 4 Maverick's on 0. Where only one model has a result, the page says so instead of naming a winner.

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