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GLM 4.6 vs Llama 4 Maverick

GLM 4.6 leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 18.5 to 9.3, and Llama 4 Maverick costs 2.2x less per output token ($1.00 vs $2.20 per million). Updated October 22, 2026; 58 benchmarks have a result for both.

Replace GLM 4.6 Replace Llama 4 Maverick
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
55
Llama 4 MaverickMeta Llama
Coding
No data
Overall
21.8
Output $/M
$1.00
3
vs boards won of 58 shared

GLM 4.6 or Llama 4 Maverick: which to pick

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding.

Pick Llama 4 Maverick for output tokens 2.2x cheaper ($1.00 vs $2.20 per million) and a larger context window (524K against 205K tokens).

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BLlama 4 MaverickMeta LlamaNot benchmarkedNo coding benchmark$1.491 per solved task
Shared results
58
GLM 4.6 only
11
Llama 4 Maverick only
27
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 4.6 8.8 from 2 benchmarks, Llama 4 Maverick not benchmarked.
Widest category
Agentic work, 59.1 points apart on average over 1 shared benchmark.
Widest single gap
AIME: GLM 4.6 92.7% against Llama 4 Maverick 25.2%, 67.5 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Llama 4 Maverick $1.00 per million output tokens, 2.2x apart.
Context window
GLM 4.6 takes 205K 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 4.6BarsLlama 4 MaverickTies
Coding80
Intelligence10
Agentic work10
Reasoning61
Math51
Knowledge91
Web design60
General190
All shared boards553
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for GLM 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
Aider polyglotNot measured15.6%Only Llama 4 Maverick measured
SWE-bench Verified68.2%21.0%GLM 4.6
LMArena WebDev1341Not measuredOnly GLM 4.6 measured
AA Coding Index45.816.3GLM 4.6
LiveCodeBench (Vals AI)81.0%47.3%GLM 4.6
Vibe Code Bench (Vals AI)3.1%Not measuredOnly GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)69.5%39.7%GLM 4.6
SciCodeNot measured31.7%Only Llama 4 Maverick measured
Terminal-Bench Hard (Artificial Analysis run)28.8%6.8%GLM 4.6
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
WeirdMLNot measured24.5%Only Llama 4 Maverick measured
ALE-Bench340.8173.0GLM 4.6
LMArena Text: coding14491301GLM 4.6
LMArena Text: software and IT14551299GLM 4.6
LMArena WebDev: HTML1350Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
AA Intelligence Index18.59.3GLM 4.6
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 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
AA Agentic IndexNot measured0.6Only Llama 4 Maverick measured
Design Arena: agents building full-stack apps1029Not measuredOnly GLM 4.6 measured
Design Arena: agents building mobile apps1096Not measuredOnly GLM 4.6 measured
Design Arena: agents building Android apps1084Not measuredOnly GLM 4.6 measured
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 measured
τ²-Bench Telecom76.9%17.8%GLM 4.6
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index61
Reasoning benchmarks for GLM 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
GPQA Diamond74.5%69.4%GLM 4.6
MMMU Pro (Vals AI)Not measured71.7%Only Llama 4 Maverick measured
GPQA Diamond (Artificial Analysis run)78.0%67.1%GLM 4.6
Humanity's Last Exam (Artificial Analysis run)14.5%4.9%GLM 4.6
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 prompts14401281GLM 4.6
LMArena Text: expert14321259GLM 4.6
LMArena Text: hard prompts in English14451295GLM 4.6
LMArena Vision: diagramsNot measured1134Only Llama 4 Maverick measured
LMArena Vision: homeworkNot measured1164Only Llama 4 Maverick measured
Kagi LLM Benchmark45.7%55.9%Llama 4 Maverick
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index51
Math benchmarks for GLM 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
AIME92.7%25.2%GLM 4.6
MATH 500 (Vals AI)Not measured85.2%Only Llama 4 Maverick measured
MGSM (Vals AI)89.8%92.4%Llama 4 Maverick
AA Math Index86.019.3GLM 4.6
AIME 2025 (Artificial Analysis run)86.0%19.3%GLM 4.6
LMArena Text: math14321299GLM 4.6
LMArena Text: mathematical work14471295GLM 4.6
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for GLM 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
MMLU Pro82.2%79.4%GLM 4.6
LegalBench (Vals AI)79.6%77.8%GLM 4.6
CorpFin (Vals AI)56.8%49.7%GLM 4.6
TaxEval (Vals AI)66.2%66.6%Llama 4 Maverick
MortgageTax (Vals AI)Not measured58.5%Only Llama 4 Maverick measured
MedQA (Vals AI)92.2%43.3%GLM 4.6
MedCode (Vals AI)Not measured36.5%Only Llama 4 Maverick measured
MMLU Pro (Artificial Analysis run)82.9%80.9%GLM 4.6
GeoBenchNot measured52.0%Only Llama 4 Maverick measured
LMArena Text: science14561288GLM 4.6
LMArena Text: medicine and healthcare14551275GLM 4.6
LMArena Text: legal and government14481286GLM 4.6
LMArena Text: business and finance14161260GLM 4.6
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
Design Arena: websites1174871GLM 4.6
Design Arena: UI components1145896GLM 4.6
Design Arena: game dev1150837GLM 4.6
Design Arena: data viz1161882GLM 4.6
Design Arena: 3D1128900GLM 4.6
Design Arena: all code categories1165879GLM 4.6
Design Arena: SVG1108Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index190
General benchmarks for GLM 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 4 MaverickLeader
SAGE (Vals AI)Not measured35.7%Only Llama 4 Maverick measured
MedScribe (Vals AI)Not measured54.2%Only Llama 4 Maverick measured
IFBench43.4%43.0%GLM 4.6
Long context reasoning (AA-LCR)54.0%50.0%GLM 4.6
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 Text14401287GLM 4.6
LMArena Text: instruction following14101267GLM 4.6
LMArena Text: creative writing14121266GLM 4.6
LMArena VisionNot measured1142Only Llama 4 Maverick measured
LMArena Text: English14491303GLM 4.6
LMArena Text: non-English14261269GLM 4.6
LMArena Text: Chinese14991277GLM 4.6
LMArena Text: German14471291GLM 4.6
LMArena Text: Japanese13931206GLM 4.6
LMArena Text: Korean14001203GLM 4.6
LMArena Text: French14591259GLM 4.6
LMArena Text: Spanish14361293GLM 4.6
LMArena Text: Russian14181286GLM 4.6
LMArena Text: Polish14471275GLM 4.6
LMArena Text: multi-turn14271289GLM 4.6
LMArena Text: longer queries14221280GLM 4.6
LMArena Text: writing and language14151277GLM 4.6
LMArena Text: entertainment and media14091250GLM 4.6
LMArena Vision: EnglishNot measured1150Only Llama 4 Maverick measured
LMArena Vision: ChineseNot measured1141Only Llama 4 Maverick measured
LMArena Vision: reading textNot measured1143Only Llama 4 Maverick measured
LMArena Vision: humorNot measured1100Only Llama 4 Maverick measured
LMArena Vision: creative writingNot measured1099Only Llama 4 Maverick 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 4.6 and Llama 4 Maverick
BenchmarkGLM 4.6Llama 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 4.6$0.0017Fits in one request
Llama 4 Maverick$0.0008Fits in one request

Llama 4 Maverick costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
Llama 4 Maverick$0.021Fits in one request

Llama 4 Maverick costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
Llama 4 Maverick$0.080Fits in one request

Llama 4 Maverick 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 4.6 and Llama 4 Maverick
SpecificationZ.ai GLM 4.6Meta Llama 4 Maverick
MakerZ.aiMeta Llama
WeightsOpen weightsOpen weights
ReleasedSeptember 30, 2025April 5, 2025
Context window205K524K
Input $/Mtok$0.60$0.35
Output $/Mtok$2.20$1.00
Coding index8.8Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computable$1.491
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Llama 4 Maverick for coding?

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding. Pick Llama 4 Maverick for output tokens 2.2x cheaper ($1.00 vs $2.20 per million) and a larger context window (524K against 205K tokens).

Which is cheaper, GLM 4.6 or Llama 4 Maverick?

GLM 4.6 costs $0.60 per million input tokens and $2.20 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 4.6 or Llama 4 Maverick?

Llama 4 Maverick, with 524K tokens against 205K.

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

58 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 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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